Data Engineer · SQL · Python · PySpark · Databricks · Airflow · Snowflake · dbt · AWS · Open to Remote (India)
I build reliable batch data pipelines and warehouses: ingestion, ELT, data modelling and data quality.
I'm also a backend engineer at heart: I've shipped production APIs and calculation services in Node.js, TypeScript and FastAPI on SQL databases, so I understand how the data gets used, not just how it moves. And I'm actively growing into AI engineering: LLM enrichment, Text-to-SQL, RAG and agent workflows with LangChain, LangGraph and AWS Bedrock, built on top of clean, well-modelled data.
At ZS Associates I built Informatica IICS ETL pipelines that integrated 4 source systems (~4 GB/day) into a Snowflake warehouse for a Fortune 500 pharma client. Automated validation cut manual effort 35% and stage-to-production time 25%, and pre-load data-quality checks cut data issues 20%. On a contract-analytics platform I cut data retrieval latency 60% (500 ms to 200 ms) with parallel queries and Redis caching, which earned a Client Appreciation Award.
- mf-nav-lakehouse: a daily lakehouse for Indian mutual fund NAVs. Airflow lands AMFI files in S3, and PySpark on Databricks builds Bronze, Silver and Gold Delta tables with idempotent loads and a data-quality gate.
- airbnb-elt: ELT on Inside Airbnb data. S3 to Snowflake via COPY INTO, incremental dbt models, SCD Type 2 snapshots and a tested star schema.
- 🤖 JobMaxxing AI: AI-powered career platform · https://jobmaxxing.in
- 🌐 Portfolio · https://twarangupta.com
- 💼 LinkedIn · https://linkedin.com/in/twarangupta
- 📧 Email · twarangupta01@gmail.com
Data: SQL Python PySpark Databricks Delta Lake Airflow Snowflake dbt Informatica IICS
Cloud & DevOps: AWS (S3, IAM, RDS, EC2) Docker GitHub Actions Git
Databases: PostgreSQL MySQL Redis MongoDB
AI: LLM enrichment Text-to-SQL RAG LangChain LangGraph AWS Bedrock
Backend: Node.js TypeScript FastAPI
🟢 Open to Data Engineer, Backend and AI Engineer roles · Full-time/Contract · Available immediately · 📧 twarangupta01@gmail.com


