Apurv

About Apurv

Data Engineer with 2.5+ years of experience building and operating production-grade, metadata-driven data pipelines for a US-based insurance client at Capgemini.• Built metadata-driven ingestion pipelines processing 100GB+ data daily on AWS & Snowflake • Implemented SCD Type 1 & Type 2 logic, improving reporting accuracy by 30% • Reduced recurring pipeline failures by 90% through metadata and workflow fixes • Supported SLA-driven production pipelines with incident resolution and reliability ownership • Developed event-driven ETL and PII detection & masking solutions • Hands-on exposure to Kafka-based real-time streaming pipelines Tech Stack• Languages: Python, SQL• Cloud: AWS (S3, Lambda, Step Functions, Glue, Redshift, DynamoDB, Athena)• Data Warehouse: Snowflake• Streaming: Kafka• Big Data: Spark, Hive, Hadoop• Tools: Git, GitHub, Jira Certifications• AWS Certified Data Engineer – Associate• SnowPro Advanced: Data EngineerI enjoy building scalable, reliable, and well-governed data systems with a strong emphasis on performance and operational excellence. Always open to meaningful conversations around data engineering and distributed data platforms.

Experience

1. Associate Consultant (Data Engineer)

   Capgemini

   Jul 2025 — Present · Pune, IN

Education

• Visvesvaraya Technological University

  Bachelor of Engineering - BE, Computer Science & Engineering