Data engineer, 7 years, based in Bengaluru. What I do I build data platforms end to end — ingestion, transformation, modelling, and the orchestration that keeps them alive. Currently working on global financial ledgering pipelines for a marketplace: reconciliation, multi-currency, exactly-once handling of transactional data. Where I've done it Led a 5-person data team at an e-commerce aggregator, pipelines at 50M+ rows/day Built data platforms across product startups and enterprise consulting PySpark · Kafka · dbt · Databricks · AWS (Glue, EMR, ECS Fargate, RDS) · Redshift · PostgreSQL · dimensional modelling What I can help with DE interview prep — SQL, PySpark, system design, project deep-dives Architecture reviews — pipeline design, cost, data quality, why the same job keeps failing Switching into data engineering from analytics, BI or backend: what to learn, in what order Resume and portfolio project reviews Financial and transactional data modelling — ledgers, reconciliation, marketplace data How I work Direct and specific, no generic advice. Bring a real problem — a failing DAG, a schema you're unsure about, a JD you're targeting — and we'll work on that instead of talking in principles. If I'm not the right fit for your question, I'll tell you early and refund.