Hire the Best Certified AWS Big Data Engineers

With 10 years of strong expertise in Data Engineering, Big Data Technologies, Python, Cloud Infrastructure, and Business Intelligence, I build end-to-end data platforms from ingestion and transformation to analytics-ready warehouses and executive dashboards. If you need clean, structured, and production-ready data architecture, I can design and implement it efficiently. What I Can Help You With Data Engineering & ETL: Building scalable ETL / ELT pipelines Apache Airflow & workflow orchestration Apache Spark, Hadoop ecosystem Python Batch & real-time data processing Data cleaning & transformation Data quality validation Workflow automation Big Data & Streaming: Apache Spark (batch & distributed processing) Kafka, Flink, Spark Streaming HDFS & Data Lake architectures Hive, Pig, HBase Distributed data systems Data Warehousing & Databases: Snowflake, BigQuery, Amazon Redshift Star Schema & Snowflake Schema design OLAP & analytical modeling Query optimization & indexing SQL (PostgreSQL, MySQL, SQL Server) NoSQL (MongoDB, Cassandra, Redis) Transaction & ACID compliance Cloud & DevOps: AWS (S3, EC2, Lambda, RDS, IAM, VPC, ECS, ECR, CloudFront, API Gateway) GCP (BigQuery, Dataflow, GKE, Cloud SQL, Cloud Storage) Azure (Data Factory, Storage, Data Lakes) Docker, Microservices & Kubernetes Terraform (Infrastructure as Code) CI/CD pipelines Scalable cloud architecture Cloud Migrations: AWS RDS, Google Cloud SQL, Azure SQL Database Moving workloads and applications between cloud providers (AWS to GCP, Azure to AWS, etc.) Leveraging microservices and containers for moving applications to the cloud Moving data between cloud storage systems, data lakes, and warehouses Rehosting applications or services in a new environment with minimal change to the codebase. Business Intelligence & Analytics: Power BI & Tableau dashboards DAX & Power Query KPI development Business performance reporting Data storytelling & insights Data Extraction & Automation: Web scraping using BeautifulSoup, Scrapy, Selenium, and Playwright Automated data extraction from dynamic and JavaScript-rendered websites API integration and structured data parsing CAPTCHA handling and rate-limit management Scheduled scraping workflows using Airflow and Cron Data cleaning, validation, and structured database storage

✅ Top Rated Plus | 100% JSS | 4x Certified (AWS SA Pro, GCP Pro Architect, Snowflake) | BITS Pilani MTech Data Science | Full Stack Developer & Data Engineer | React, Python, Node.js, Spark | $20K+ earned | 1,845+ hours I build full-stack web applications and data engineering systems that go to production, not to demo day. SaaS MVPs, Spark-based ETL pipelines, cloud architecture on AWS and GCP, I handle both the application layer and the data infrastructure behind it. 🔹 Full-Stack SaaS & Web Application Development React, Next.js, Node.js, and Python backends for SaaS platforms, dashboards, internal tools, and customer-facing apps. MVP to production on AWS/GCP with CI/CD, automated testing, and monitoring from day one. 19 Upwork contracts delivered with structured milestones. 🔹 Data Engineering & ETL Pipeline Architecture End-to-end data pipeline design with Apache Spark, PySpark, Scala, Snowflake, and Airflow. Batch and streaming ETL processing millions of records per run. Data lake architecture, warehouse modeling, analytics-ready output layers. 8+ years building production Spark + Cassandra systems at enterprise scale. 🔹 Cloud Architecture & Infrastructure (AWS + GCP) 4 cloud architecture projects on Upwork, all rated 5.0. $2,300 CloudStack design. AWS architecture advisory. EC2, Lambda, S3, RDS, EMR, Redshift on AWS. BigQuery, Dataflow, Cloud Functions on GCP. Terraform for IaC, Docker and Kubernetes for orchestration, zero-downtime deployments. 🔹 API Development & Backend Systems REST API and GraphQL backends with Node.js, NestJS, FastAPI, and Django. Microservices, Redis caching, WebSocket integrations, Stripe payment APIs, OAuth/JWT authentication. Backend services handling concurrent users at production scale. 🔹 Database Design & Data Modeling PostgreSQL, MongoDB, MySQL, Cassandra, DynamoDB, Redis. Schema design, query tuning, indexing, partitioning. Star and snowflake schemas, slowly changing dimensions, SQL optimization for analytics. Architecture decisions balancing performance, throughput, and cost. 🔹 AI Integration & Intelligent Applications OpenAI API, Hugging Face, NLP pipelines, chatbot systems, text extraction and summarization. Delivered NLP processing on Upwork. AI-powered features built into SaaS products as production features, not standalone experiments. 🔹 Real-Time Processing & Event-Driven Systems Kafka for event-driven architectures, change data capture, WebSocket dashboards, streaming pipelines for near-real-time analytics. Application events connected to data warehouse layers. 🔹 Frontend Performance & TypeScript Engineering React and Next.js with SSR/SSG for SEO-friendly rendering. TypeScript full stack. Core Web Vitals optimization, Tailwind CSS, responsive design. Fast-loading frontends that rank and convert. 🔹 DevOps, CI/CD & Production Systems Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI. Serverless with AWS Lambda and GCP Cloud Functions. Monitoring, logging, alerting for production. Zero-downtime deployment strategies. 🔹 Technical Consulting & Architecture Advisory TypeScript and AWS Lambda tutor on Upwork, rated 5.0 over 13 hours. Cloud migration advisory, system design review, code audits, performance optimization, engineering mentorship. 📊 AWS Solutions Architect Professional + Associate (Dec 2026) | GCP Pro Cloud Architect (Jul 2026) | Snowflake Core (Jan 2026) 📊 MTech Data Science, BITS Pilani, ranked top 5 engineering institutions in India 📊 19 contracts, 100% JSS, Top Rated Plus, 1,845+ hours tracked, $20K+ earned 📊 "Jay's expertise brought the architecture design to life in ways I hadn't imagined" (5.0 rated) 📊 8+ years: React, Node.js, Python, Java, Scala across SaaS, healthcare, fintech, enterprise → Day 1: Requirements call + architecture proposal with tech stack rationale → Week 1: Sprint development, daily Loom/Slack updates, working code shipped → Ongoing: Weekly demos, priority reviews, transparent tracking, full documentation → Delivery: Documented code, CI/CD configured, deployment guide, 2-week post-launch support Full Stack: React, Next.js, Node.js, NestJS, Express, TypeScript, JavaScript, Python, FastAPI, Django Data: Apache Spark, PySpark, Scala, Snowflake, Airflow, Kafka, ETL, dbt, SQL, BigQuery Cloud: AWS (Lambda, EC2, S3, RDS, EMR, Redshift), GCP (BigQuery, Dataflow), Docker, Kubernetes, Terraform DB: PostgreSQL, MongoDB, MySQL, Redis, Cassandra, DynamoDB, Supabase AI: OpenAI API, Hugging Face, NLP, LLM Integration, TensorFlow, PyTorch 💬 Message me with your project scope or data challenge. I respond within 4 hours with a free assessment and can start within 48 hours.

I'm a Senior Data Engineer with 8+ years of hands-on experience building reliable, scalable data infrastructure end to end, from ingestion and transformation through warehousing, streaming, and AI-ready serving. If your pipelines are brittle, your warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse migration, governance, and the AI data foundations that feed LLM and ML systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow | Dagster | Prefect | Azure Data Factory ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Let's build your data foundation. Send me a message about your project, and I'll take it from there.

I help companies go from scattered data and inconsistent reporting to a reliable, scalable analytics layer built on Google Cloud Platform, powered by dbt, and delivered through Looker. For long term projects, happy to offer a FREE 1 week period of work, let's call it probation period. My results are faster queries, trusted metrics, and dashboards that business teams actually rely on. Let's have a free 30 mins call to discuss your needs, possibilities and data challenge. I'm Peter , a Top Rated Plus (top 3%) Certified Data Engineer (+ Analytics Engineer) with over 9 years of experience transforming complex data into actionable insights for global clients and start ups across finance, hospitality, SAAS, eCommerce, and tech. I specialize in building scalable data solutions that reduce costs, accelerate decision-making, and unlock new revenue streams. My experience: - Worked with leading organizations like KPMG, Savings United, IU Group, aleno, Andela, and the World Bank to define, maintain and optimize their data solutions. - Cut data processing time and operational costs by 20 percent through optimized pipelines and optimized queries and data storage techniques. - Helped a hotel SaaS platform unlock a new revenue stream via client-facing analytics leading to a paid embedded dashboard revenue stream. - Built and tracked KPIs that improved business steering and day-to-day execution delivered timely, cheaply and reliably. Tech & Tools I work with: GCP (BigQuery, Cloud Functions, Cloud scheduler, Cloud Logging, IAM, Compute Engine, Billing and optimization), AWS, Looker (Semantic layer, LookML,Looker API, administration, migration, setup, training, costs, looker embed, pdts), Power BI, Alteryx, dbt, dlt, Python, SQL, REST APIs, Airbyte, Airflow, Docker Some of my Certifications: Project Management Professional (PMP) - Project Management Institute (PMI) Google Cloud Professional Data Engineer Responsible AI with Google Cloud Generative AI Fundamentals – Google What I Deliver: - Automated, scalable pipelines to replace error-prone manual processes - Insightful dashboards and metrics that fuel performance and decision-making - Machine learning integrations and fraud detection solutions - Clear, timely communication and documentation - Google Looker setup, development, optimization and administration - Collaboratively leading agile teams towards accurate, timely and impactful data solutions. Clients consistently rate my work 5 stars for delivering high-quality, high-impact data solutions with a collaborative mindset. Whether you need a short-term fix or a long-term data strategy partner, I bring enterprise-grade quality to the Upwork platform. Let’s connect and discuss how I can help you leverage your data for strategic advantage.

🥇 Top 3% AWS Expert on Upwork | AWS Advanced Tier Partner | Certified Solutions Architect I help startups and enterprises design secure, scalable and cost-optimized cloud infrastructure on AWS. Over the last 10+ years, I have successfully delivered: ✅ AWS Cloud Architecture Design ✅ AWS → Datacenter / Multi-Cloud Migration ✅ DevOps Automation (Terraform, CI/CD, Docker, Kubernetes) ✅ AWS Cost Optimization (25%–40% Savings Achieved) ✅ Serverless & AI/ML Platform Deployment ✅ Secure Infrastructure & Compliance Setup ✅ SaaS Infrastructure Scaling I have worked on large-scale telecom, SaaS, e-learning and fintech platforms, handling production workloads with millions of users. ⭐ What I Can Help You With ☁️ Cloud Architecture & Migration AWS Landing Zone Setup 3-Tier Secure Architecture Design Data Center Migration Strategy Cloud Modernization & Re-architecture High Availability & Disaster Recovery ⚙️ DevOps & Automation Terraform Infrastructure as Code CI/CD Pipelines (GitHub Actions / Jenkins / AWS CodePipeline) Docker & Kubernetes (EKS / ECS Fargate) Monitoring & Observability Setup 💰 AWS Cost Optimization Specialist Rightsizing & Reserved Instance Planning Storage & CDN Optimization Cloud Billing Analysis FinOps Implementation 🤖 Serverless & AI Cloud Deployment AWS Lambda, API Gateway, DynamoDB Event-Driven Architectures AWS Bedrock / SageMaker AI Deployment Real-time Analytics Pipelines 🔐 Security & Compliance IAM Hardening & Access Strategy Private Networking (VPC, VPN, Bastion) WAF, Shield, KMS Implementation Production Security Audits 🧠 AWS Technologies Expertise EC2 | S3 | RDS | Aurora | Lambda | API Gateway | ECS | EKS | CloudFront | VPC | Route53 | DynamoDB | Redshift | Glue | Kinesis | SageMaker | CloudWatch | CloudTrail | IAM | WAF | Shield | Terraform | Docker | Kubernetes 📈 Proven Results ✔ Reduced AWS cost by 35% for telecom infrastructure migration ✔ Optimized video platform infra saving $7K/month CDN + storage cost ✔ Migrated 20+ production workloads with zero downtime ✔ Designed secure AI cloud architecture for enterprise deployments 🤝 Why Clients Hire Me ⭐ AWS Partner Level Expertise ⭐ Strong Business + Technical Understanding ⭐ Security-First Architecture Approach ⭐ Clear Communication & Documentation ⭐ Long-term Support & Reliability 📩 Let’s discuss your AWS architecture, migration or cost optimization goals. I can provide a quick audit + architecture recommendation call.

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP