Hire the Best Data Transformation Specialists

I lead workforce strategy and data transformation initiatives, leveraging over 10 years of experience in financial services. I excel at implementing workforce planning solutions from conception to deployment, enhancing planning capabilities and insight quality. If you're seeking a strategic partner to optimize your workforce and transform your data, I am ready to collaborate and help your organization succeed.

I am a Business Intelligence & Analytics Engineer with 6+ years of experience helping businesses transform raw, messy data into clear insights, automated workflows, and executive-ready dashboards. My background spans business intelligence, data engineering, process automation, and operations strategy, giving me the rare ability to connect technical solutions with real business impact. ✅ What I Do Best I specialize in building end-to-end data solutions that save time, reduce errors, and empower better decision-making: 📊 Dashboards & Reporting Interactive Power BI and Tableau dashboards KPI tracking, financial & HR analytics, sales performance monitoring Drill-down reports for executives, managers, and teams ⚙️ ETL Pipelines & Data Engineering SQL, Python, Databricks, Kafka, Snowflake, Oracle, SQL Server Automated data cleaning, integration, and modeling End-to-end pipelines from raw data to ready-to-use analytics 🤖 Process Automation Payroll and compensation automation Semi/fully automated reporting systems Workflow optimization across HR, finance, and operations 🗺️ Logistics & Geospatial Analytics GIS analysis with QGIS, KNIME, Python Route optimization and cost-saving insights Delivery performance & efficiency tracking 💡 Predictive & Advanced Analytics Machine learning (predictive modeling, A/B testing) Business forecasting and “what-if” analysis Data-driven scenario planning 🛠️ Tech Stack Languages & Tools: SQL, Python, DAX, VBA, R, Java BI Platforms: Power BI, Tableau, KNIME, Alteryx Data & Cloud: Databricks, Snowflake, Kafka, AWS, Azure ERP & Ops: SAP S4HANA, SAP Predictive Analytics Other: QGIS, MS Excel (advanced automation & VBA), Oracle, MS SQL Server 💼 My Professional Background I’ve worked with Fortune 500 companies and large enterprises in the U.S., delivering BI and automation solutions that directly impacted business performance. Some highlights (generalized for confidentiality): Reduced manual workload by 80% through automated ETL pipelines. Built 20+ dashboards used by executives, HR, finance, and operations. Designed payroll automation that cut errors and saved significant costs. Optimized logistics routes using GIS, reducing costs by 30%. Managed BI tools and user access as an internal Product Owner, aligning dashboards with business goals. I’ve also presented insights to VPs and Presidents, mentored junior analysts, and worked cross-functionally with HR, finance, operations, and IT teams. 🌍 Why Work With Me? Business + Tech Blend → I’m not “just a dashboard developer.” I combine data engineering skills with business strategy understanding to create solutions that executives actually use. End-to-End Ownership → From ETL pipelines and modeling, to dashboards and automation, I handle the full lifecycle. Proven Results → Every project I deliver reduces time, saves money, or improves decision-making. Clear Communication → I’ve worked directly with executives; I can explain complex analytics in simple, actionable terms. 💡 How We Can Work Together One-time dashboard/reporting project ETL pipeline setup or data migration Compensation or HR reporting automation Ongoing BI & analytics consulting (weekly/monthly retainer) Whether you’re a startup looking for clean dashboards, an SME needing automated reporting, or an enterprise wanting end-to-end data solutions, I’ll tailor my work to fit your goals.

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, scattered data into reliable systems that power real decisions, from cloud data warehouses processing hundreds of millions of daily events for millions of users, to multi-terabyte tables with tens of billions of records that I redesign and optimize to cut load times and costs by up to 60%. With 6+ years across startups, SMBs, and global companies, I build the full data stack end to end: scalable pipelines and data warehouses, workflow automation, and the dashboards and analytics that sit on top. Many of my clients come to me for "a dashboard" or "help with their data" — and what they actually need is the right data foundation underneath. I build both. 🔑 Challenges I Help Solve 📉 Scattered, inconsistent data: Information spread across multiple tools, making accurate reporting and decisions hard. ⏰ Manual, repetitive work: Hours lost on tasks and reports that should be automated. 🌌 Data but no insight: Plenty of data, but no clear answers to act on. ⚙️ Slow or costly pipelines: Infrastructure that breaks, lags, or scales badly. ⚙️ What I Do - Data Engineering & Warehousing: Design, build, and redesign data warehouses and lakehouses (BigQuery, Databricks, Snowflake) that handle massive, high-volume workloads. - ETL & Automation: Build scalable pipelines and automate workflows and reporting with Airflow, Python, Spark, SQL, and Apps Script. Clean, reliable, on time. - Cloud: Deploy and manage solutions on Google Cloud (GCP), AWS, and Azure. - Analytics & Dashboards: Turn that data into clear, decision-ready dashboards in Tableau, Looker Studio, Power BI, and Metabase. - AI & Advanced Analytics: Apply data science and ML to detect trends, forecast, and build intelligent, data-driven applications. 🛠️ My Toolkit Languages & Engineering: SQL, Python, R, Spark, Airflow, Databricks, dbt, Apps Script Cloud: Google Cloud (BigQuery, Cloud Run, Pub/Sub), AWS, Azure Analytics & Visualization: Tableau, Looker Studio, Power BI, Metabase, Microstrategy, Google Sheets / Excel AI & Automation: Generative AI, workflow automation, data-driven applications 💼 Proven Results - Designed and optimized cloud data warehouses processing hundreds of millions of daily events for millions of users. - Redesigned data architectures with multi-terabyte tables and tens of billions of records, cutting load times and infrastructure costs by up to 60%. - Delivered ETL, automation, and dashboards for 30+ businesses worldwide. - Developed AI-powered solutions such as a RAG-based chatbot and predictive models. 📈 Whether you need to set up your first data warehouse, automate a painful manual process, optimize slow pipelines, or finally get the dashboards your team can trust, I can design the right solution for your business. Let's connect and discuss what you're trying to achieve.

With 17+ years of Business Intelligence and Data Warehousing industry experience, a 'Microsoft Certified Azure Data Engineer' and ‘TOP RATED PLUS' Business Intelligence Consultant on Upwork for 3 years in a row. I have a tremendous BI and Data Warehousing experience working at some of the Top Fortune Technology and Manufacturing Companies of the World. I enjoy working with data analytics and developing robust BI solutions for companies to enhance their business decisions making. I have completed various end-to-end BI projects with high volume data, complex reporting requirements, presenting them visually as story-telling insights. - 17+ Years of experience with ETL, Data modelling, Data Analytics and BI Reporting using different BI tools like POWERBI, Microsoft BI Stack (MS SQL Server, SSIS, SSAS, SSRS), Azure Synapse Analytics, DBT, Snowflake, SAP Business Objects, SAP Netweaver BW and Board BI. - 17+ Years of experience in designing dimensional models and data warehouse solutions architecture, developing and implementing ETL solutions to extract, transform and load data into data warehouses and data marts.

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