Apoorv Tyagi
@apoorvtyagi
Senior Data Engineer building high-throughput GCP/AWS streaming ETL and AI data workflows.
What I'm looking for
I’m a Senior Data Engineer with 7+ years building high-throughput data platforms on GCP and AWS. I deliver enterprise-grade distributed systems across real-time streaming pipelines and large-scale ETL/ELT using PySpark, Apache Beam, BigQuery, and Redshift.
Recently, I operationalized AI-powered data workflows, including RAG pipelines, LangGraph agents, and Google ADK integrations. I’ve also driven measurable outcomes like 95% data quality SLAs, cutting authentication overhead by 90%, and enabling near real-time processing by reducing p95 latency from 90s to 2s.
I’m energized by cloud-native data architecture—serverless, event-driven, and lakehouse-oriented—and by building resilient pipelines with strong governance. Across roles, I’ve redesigned ingestion for 10x faster transfer speeds, improved export/query efficiency, and led migrations that delivered up to 40% infrastructure cost reduction while improving reliability.
Experience
Work history, roles, and key accomplishments
Built production ETL pipelines using AWS Glue and Lambda with 95% data quality SLAs. Delivered AI agent workflows with AWS CDK, Claude, Bedrock, and Lambda, and improved distributed service concurrency via token caching.
Redesigned GCP file ingestion with parallel processing for 10x faster transfer speeds with fault tolerance. Built async webhook and AI agent workflows using Google ADK, Gemini, Cloud Run, and integrated RAG pipelines and LangGraph agents into GCP data infrastructure.
Architected event-driven serverless transformations using AWS Lambda and S3 triggers, reducing overall latency by 70%. Built and optimized analytics schemas across Redshift, RDS, and S3, orchestrating data flows with MWAA (Airflow) and dbt star schema models.
Built pipelines on Google Cloud Dataflow to process millions of events daily and load into BigQuery for analytics. Designed OLAP systems on BigQuery for healthcare clients and automated daily reporting using Cloud Functions and Managed Airflow, reducing manual intervention by 60%.
Education
Degrees, certifications, and relevant coursework
Kurukshetra University
Bachelor of Technology (B.Tech), Computer Science & Engineering
2015 - 2019
Grade: CGPA 7.4/10
Earned a B.Tech in Computer Science & Engineering at Kurukshetra University from 2015 to 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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