Hire the Best Databricks Platform Specialists

🏆 TOP RATED PLUS 🥇 Top 1% on Upwork 🚀 8+ Years of Experience 💯 100% Job Success 🎯 Expert Vetted Most data teams are held back by unreliable pipelines, untrustworthy warehouses, and data infrastructure never built to scale. That's exactly what I fix. As a Senior Data Engineer, I don't just write SQL and call it a pipeline. I architect end-to-end data systems where reliable ingestion feeds into clean, versioned transformations that power decisions your business can act on. My approach prioritizes fault tolerance, scalability, and observability across both batch processing and real-time analytics workloads. This ensures your data infrastructure is not just functional, but resilient and audit-ready. Whether you need cloud data migration, data platform modernization to a Modern Data Stack (Snowflake/dbt/Airflow, Microsoft Fabric), or streaming analytics infrastructure, I deliver production-grade systems that help technical founders and data teams eliminate pipeline debt, automate complex data workflows, and build scalable infrastructure ready for AI workloads. ------------------------ Where I make the biggest impact: ✅ I lead data migration and data platform modernization projects, replacing brittle ETL and ELT pipelines with a Modern Data Stack built on Snowflake, dbt, Airflow, and Microsoft Fabric. ✅ Every engagement includes Medallion Architecture design, full test coverage, CI/CD for data models, data lineage tracking, and documentation that outlasts the project. ✅ I design data pipelines for both batch processing and real-time analytics, idempotent, schema-drift tolerant, and monitored through data observability frameworks, so failures are caught before they reach your stakeholders. ✅ Warehouse models are built to serve the business: Star Schema, dimensional modeling, dbt projects, analytics engineering best practices, and a metrics layer backed by a data catalog and metadata management. ✅ I architect distributed systems for big data and streaming analytics, including Kafka, Flink, Spark Structured Streaming, exactly-once semantics, dead-letter queues, and end-to-end latency guarantees. ✅ AI data pipelines are engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ✅ I bring governance to data platforms through data mesh, data catalog implementation, metadata management, and data integration across systems. ✅ Data quality and data reliability are enforced end to end, with automated frameworks, SLA monitoring, auditable lineage, and observability that catches bad data before it reaches your stakeholders. ✅ I build AI-ready data infrastructure and lakehouse foundations, Delta Lake, Apache Iceberg, cloud data architecture, and CDC pipelines for near-real-time sync. ✅ Cloud data migration is handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime. ------------------------ What I Build With: 🗄️ Warehouses, Lakehouses & Data Lakes: Snowflake, BigQuery, Redshift, Databricks, Microsoft Fabric, Delta Lake, Iceberg ⚙️ Transformation: dbt (Core & Cloud), SQLMesh, Spark, PySpark, Star Schema, Medallion Architecture 🔁 Orchestration: Airflow, Dagster, Prefect, Azure Data Factory, Microsoft Fabric 📨 Streaming: Kafka, Kinesis, Pub/Sub, Flink, Fabric Eventstream 🔗 Ingestion: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, CDC pipelines ☁️ Cloud: AWS, GCP, Azure 🐍 Languages: Python, SQL (SF, BQ, 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 ⭐ "Adarsh built our entire data platform from the ground up. Clean architecture, solid dbt models, and Airflow pipelines that have been 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 Adarsh with a Spark pipeline that was costing us a fortune and delivering stale data. He identified the bottlenecks, restructured the workflow logic, and reduced our processing time by 70%. Technically sharp, communicates clearly, and delivers without hand-holding." – Leo, Head of Analytics, HealthTech SaaS ------------------------ 🚀 Let's Build Your Data Foundation. If your data infrastructure needs to be faster, cleaner, and trustworthy, send a quick message about your project, and I'll take it from there.

Building a modern data workflow shouldn’t feel overwhelming. I help businesses design and build scalable data and analytics solutions, from ingestion and transformation to reporting and decision-ready insights. Whether you're starting from spreadsheets, modernising legacy workflows, or building a cloud-based data platform from scratch, the goal is the same: Create reliable, scalable systems that make data easier to use, trust, and grow with. 📍 What I Help With I support businesses with both new data platform development and existing workflow optimisation, including: → Designing end-to-end ETL / ELT pipelines → Building modern cloud-based data workflows → Data ingestion and transformation → Analytics-ready data modelling → Data warehousing and reporting layers → Pipeline optimisation and debugging → Migration from spreadsheets or legacy systems → Structuring scalable reporting environments 📍 Technologies & Platforms I work across modern data stacks depending on project requirements, including: → Databricks → SQL → dbt → Apache Airflow → Snowflake → BigQuery → Amazon Redshift → Kafka → Azure Data Factory (ADF) → Power BI The focus is always on building practical, maintainable solutions that align with business goals and future scalability. 📍 How I Work My approach focuses on building systems that are: → Structured and maintainable → Scalable as data grows → Reliable for reporting and analytics → Designed around real business workflows Depending on project scope, I also collaborate with a small network of trusted specialists across data engineering, analytics, and reporting to support efficient delivery where needed. 📍 Who I Work With → Startups building their first data platform → Businesses moving away from spreadsheets/manual reporting → Teams modernising legacy data workflows → Organisations needing scalable analytics infrastructure → Companies looking to improve reporting reliability and visibility 📩 Let’s Talk If you're building a new data workflow, modernising existing systems, or trying to create more reliable reporting and analytics send me a message with: → what you’re building → where you’re stuck → what outcome you’re aiming for and I’ll help map out the most practical way forward.

I help companies turn messy, fragmented data into reliable infrastructure that powers analytics, automation, and AI. With a team of 20+ engineers, I deliver production-grade data systems — not prototypes that break in the real world. What I do: Data Engineering — Build scalable ETL/ELT pipelines, data warehouses, and lakehouses (Snowflake, BigQuery, Databricks, Redshift) AI-Ready Infrastructure — Set up RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and LLM integrations that connect your data to AI Pipeline Orchestration — Automate workflows with Airflow, dbt, Dagster, and Prefect Analytics & Dashboards — Deliver decision-ready reporting in Power BI, Tableau, and Looker Cloud & DevOps — Architect on AWS, GCP, and Azure with cost efficiency and reliability in mind Tech stack: Python, SQL, Spark, dbt, Airflow, Snowflake, Databricks, LangChain, OpenAI/Anthropic APIs, AWS/GCP/Azure Why work with me: ✅ End-to-end ownership — from data ingestion to AI deployment ✅ Backed by a full engineering team for speed and scale ✅ Clear communication, on-time delivery, and clean documentation ✅ Proven track record across startups and enterprise clients Whether you need a single pipeline fixed or a complete AI-ready data platform built from scratch, I bring the technical depth and reliability to get it done right. Let's talk about your project — send me a message and I'll respond within a few hours.

Need a data platform that works in production, not just on a whiteboard? I design and build end-to-end data systems that turn fragmented raw data into trusted analytics and AI-ready infrastructure. 10+ years experience. Founder of Vyntics. Delivered consulting solutions for AT&T, Patreon, Jumio & Acko. WHAT YOU GET: Reliable ETL/ELT pipelines (batch + streaming) that keep dashboards accurate and stop 2 AM debugging Cloud data platforms (AWS/GCP) optimized for scale, cost control, and long-term maintainability Production-grade AI/RAG systems: accurate retrieval, eval pipelines, and scalable deployment Legacy-to-cloud migrations with zero-downtime cutovers and built-in validation frameworks PROVEN IMPACT: Migrated enterprise warehouse to BigQuery: 40% lower query costs, zero downtime Built Databricks lakehouse (Delta + Unity Catalog) for governed self-service analytics Designed Snowflake + dbt architecture that cut ELT dev time by 60% Deployed RAG systems on real-world data with measurable accuracy and latency improvements HOW I WORK: Flexible engagement: I can architect your system in a focused 2-week discovery sprint, or lead full end-to-end delivery via my Vyntics team. Always production-first, cost-aware, and documented for your team's long-term success. BEST FIT FOR: Startups scaling infrastructure | Companies migrating legacy systems | Teams adding AI/RAG | Leaders who want clarity before heavy investment Evaluating your data strategy or stuck on architecture decisions? Message me with your challenge. I will reply with 2-3 actionable next steps, no obligation. Arun Mudgal Founder & Principal Consultant, Vyntics

🚀 I help businesses turn messy, scattered data into clean, automated, decision-ready systems. ⚡ 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 | 🏆𝟖𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 | 📊𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐄𝐓𝐋 & 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 I help startups and growing companies turn scattered, unreliable data into automated, decision-ready systems. From building production-grade ETL pipelines to deploying Power BI dashboards used by executives, I deliver data platforms that are scalable, secure, and cost-efficient. With 𝟒+ years of professional experience and 𝟖𝟎+ successful data projects, I specialize in making data fast, accurate and business-ready. ⚡ 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ◼ End-to-End ETL / ELT Pipelines (Airflow, Azure Data Factory, Databricks) ◼ Cloud Data Warehousing & Lakehouse Architecture ◼ Big Data Processing with PySpark & SQL ◼ Database Design, Modeling & Performance Optimization ◼ Data Migration & System Integration (APIs, Legacy Systems, SaaS Tools) ◼ Power BI Dashboards & Analytics Automation 🤝 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐟𝐨𝐫 𝐘𝐨𝐮 ◼Build automated ETL/ELT pipelines (Airflow, ADF, Databricks, AWS Glue) ◼Create cloud data warehouses & lakehouses (Snowflake, Redshift, BigQuery, Synapse) ◼Develop Power BI dashboards & data models used by executives ◼Integrate data from APIs, SaaS tools & legacy systems ◼Improve data quality, performance & reporting speed ◼Migrate on-premise systems to AWS, Azure, or GCP 💬 Smarter data. Faster decisions. Higher ROI. Let’s build pipelines that actually power your growth. 🔑 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 #DataEngineer #Azure #Databricks #ApacheAirflow #ETLPipelines #BigData #PySpark #SQL #PowerBI #DataMigration #DataIntegration #DataWarehousing #CloudDataEngineering #BusinessIntelligence #DatabaseDesign

Data is as valuable as the decisions it enables. Is your leadership team waiting weeks for reports? Are your data pipelines constantly breaking, or is your cloud spend spiraling out of control? I don't just "write ETL", I build the scalable, automated engines that turn raw, messy data into real-time business intelligence. With over 6,000+ hours on Upwork and a 100% Job Success Score, I help enterprises move from manual data chaos to a streamlined, modern data stack. My Core Focus: - Microsoft Fabric: End-to-end implementation (OneLake, Data Factory, Lakehouse/Warehouse). - Databricks: Building robust Medallion architectures using Spark, Delta Lake, and Unity Catalog. - Automated ETL/ELT: Designing resilient pipelines with Airflow, Azure Data Factory, and Python. - Enterprise BI: High-performance Power BI dashboards using Direct Lake and advanced DAX. Why Clients Choose Me: I bridge the gap between technical complexity and business ROI. Whether you are migrating from legacy SQL servers to the cloud or optimizing a complex Databricks environment, I focus on two things: Performance and Clarity. Technical Ecosystem: - Languages: Python, SQL, PySpark, DAX - Platforms: Microsoft Fabric, Azure Synapse, Databricks, Snowflake - Tools: Airflow, ADF, Power BI, Tableau, PostgreSQL/MySQL Ready to transform your data infrastructure into a strategic asset? Click the "Message" or "Book Consultation" button, and let’s discuss your architecture.