Rahul J.

You have data. It just does not work. 🚨 Numbers nobody trusts and no actionable insights 🚨 Cloud costs keep climbing and nobody can explain why. 🚨 AI project everyone is excited about has been waiting for clean data that never arrives. I build the foundation that fixes all of it. 15 years. 100+ companies. 93% of clients come back. ✅ Top 1% on Upwork ✅ 100% Job Success ✅ Databricks Partner ✅ $100k+ Infrastructure Managed ✅ HIPAA & GDPR Compliant I'm a Senior Big Data Engineer with 15+ years building the data engineering foundation that businesses actually rely on. Whether you need an AWS Data Engineer to clean up cloud pipelines, an Azure Data Engineer for Microsoft stack integrations, a GCP Data Engineer for BigQuery architecture, or a Python Data Engineer to automate ETL workflows, I handle it end-to-end. Managing petabyte-scale systems and $100k+ infrastructure budgets. WHAT I BUILD AS A BIG DATA ENGINEER ✅ ETL / ETL Pipeline and Data Warehouse Automated pipelines on dbt, Airflow, AWS Glue, and Azure Data Factory. Medallion Architecture (Bronze, Silver, Gold) that brings structure to raw data and delivers clean, business-ready datasets. Reporting goes from days to minutes. ✅ Real-Time Streaming Kafka, Spark, and Flink for pipelines that process millions of events as they happen. Good data engineer solutions catch problems in minutes, not hours. ✅ Customer 360 and Single Source of Truth One customer identity across CRM, billing, POS, ticketing, and e-commerce. From 5% transaction match rates to full operational visibility. Automated deduplication and master data management. ✅ Cloud Cost Optimization 25-50% compute cost reduction through query optimization, resource rightsizing, and smart scheduling across AWS, GCP, and Azure. ✅ AI-Ready Data Infrastructure Governed pipelines and curated Gold-layer datasets that make AI models work in production, not just in demos. The data engineer foundation that AI teams need before anything else. ✅ Data Governance and Quality Unity Catalog, HIPAA and GDPR-compliant architectures, automated validation, and data lineage. Data your teams actually trust. ✅ Databricks Engineering Unity Catalog governance, Medallion Architecture, batch and streaming pipelines built for performance and cost. ✅ Migration and Modernization From legacy warehouse to modern Lakehouse. Safe cutover, minimal downtime, built to handle 10x growth without rebuilding. MY RESULTS as a big data engineer 🎯 51% compute cost reduction - pathology lab, 21 sources migrated to Databricks Lakehouse, HIPAA-compliant 🎯 $76K to $23K per month - infrastructure cost cut via ETL optimization and Kafka pipeline redesign 🎯 83-92% manual work eliminated - manufacturer unifying ERP data across 8 acquisitions on GCP Medallion Architecture 🎯 $143M inventory impact - petabyte-scale demand forecasting, 88% accuracy 🎯 400M+ products processed in real time - Kafka and Apache Flink pipeline 🎯 6 operational systems unified - Databricks data platform for a UK, US AI infrastructure company TECH STACK Data Engineering: Data Architecture · ETL/ELT · Data Integration · Data Migration · Data Modeling · Batch & Real-Time Processing Data Platforms: Data Lakes · Data Warehouses · Snowflake · BigQuery · Databricks · Redshift · Azure Synapse Orchestration: Apache Airflow · dbt · AWS Glue · Azure Data Factory Streaming & Processing: Apache Spark · PySpark · Kafka · Flink · Kinesis Cloud: AWS · Microsoft Azure · Google Cloud Platform (GCP) Languages: Python · SQL · PySpark · Scala · Java · C# AI & Machine Learning: LLMs · AI Agents · RAG · OpenAI · Azure AI · LangChain · TensorFlow · PyTorch Backend & APIs: FastAPI · Node.js · NestJS · REST APIs · GraphQL · API Integrations · Webhooks · OAuth2 · JWT Cloud Architecture: Cloud-Native Systems · Microservices · System Design · Cloud Migration · Scalability · Performance Optimization · Cost Optimization Automation: n8n · Zapier · Make · AI Workflow Automation · CRM & SaaS Integrations · Data Synchronization SaaS & Infrastructure: Multi-Tenant Architecture · Docker · Kubernetes · Terraform · CI/CD · Database Scaling · Infrastructure Optimization SaaS Development: MVP to Production · System Modernization · Backend Architecture · Technical Roadmaps · Architecture Reviews WORKING WITH ME I lead big data engineer services at DATAFOREST, a Databricks partner with 100% Job Success Score across 100+ businesses in healthcare, insurance, manufacturing, retail, and fintech. Companies building AI products need a solid big data engineer before anything else. That is the foundation I build. If your data is scattered, reporting is still manual, or your AI work is blocked by bad data infrastructure, message me. (Big Data Engineer) My data engineer expertise covers: Big Data Engineer · AWS Data Engineer · Azure Data Engineer · GCP Data Engineer · Python Data Engineer · Databricks Data Engineer · ETL Data Engineer · Cloud Data Engineer Migration Engineer