Senior Data Engineer || Databricks || Spark || Kafka || AWS || Data Governance || PII Security || Data Reliability ||FinOps

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Mumbai, Maharashtra, India

Kolkata, West Bengal, India

Bachelor of Engineering - BE, Computer Science
Jadavpur University
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I’m a Senior Data Engineer with 5+ years of experience building production lakehouse systems on AWS and Databricks. I have architected multi-workspace environments supporting thousands of users and hundreds of datasets, implementing access governance, auditability, and standardised onboarding so multiple teams can independently use data without compromising security or stability. I designed a Secure PII Data Vault using segregated workspaces, encryption, hashing, dynamic masking, RBAC authentication, and audit logging to enforce zero-trust access. This allows downstream teams to consume governed datasets for analytics and ML while preventing exposure of sensitive data. I also own the reliability of a high-throughput lakehouse ingesting 1–10TB/day across batch and streaming workloads using Spark, Delta Lake, and Kafka. I built 400+ production pipelines and implemented schema evolution handling, backfills, and observability to keep systems stable in real-world conditions. To improve trust in data, I developed a reusable PySpark + Great Expectations data quality framework and implemented cost visibility and guardrails across cloud accounts to optimise platform spend. My focus is platform ownership, governance, and reliability — building secure, observable, and self-service data foundations that analytics and ML teams can depend on. Tech: Python, SQL, PySpark, Spark Structured Streaming, Kafka, Delta Lake, Databricks, AWS (S3, IAM, KMS, Glue, EMR, Lambda, SQS).
Greater Bengaluru Area
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Bachelor of Engineering - BE, Computer Science, Jadavpur University