Real-time Analytics Platform
Kafka & Spark streaming pipeline processing 1M events/sec with fault-tolerant event ingestion.
Welcome to my Website
Principal Data Engineer
Rajeev Jasti
Architecting low-latency distributed systems and massive-scale ETL pipelines. I build the robust infrastructure that powers real-time analytics for global enterprises.
10+
Years Experience
50+
Projects Delivered
1M+
Events/Second
30%
Cost Reduction
40%
Latency Improvement
99.9%
Uptime
Technical Skills
Data Processing
Cloud & Infrastructure
Data Warehouse
Languages
Databases
Observability
Experience
2022 — Present
Remote
Principal Data Engineer @ Tech Corp
Architected a multi-region data mesh serving 50+ internal teams. Reduced cloud infrastructure costs by 30%.
- Designed and deployed Kafka-to-Snowflake CDC pipelines handling 1M+ events/sec
- Led migration from monolithic ETL to modular, domain-owned data products
- Reduced P95 query latency by 40% through Spark optimization and partition tuning
- Mentored a team of 6 engineers across 3 time zones
2019 — 2022
Hybrid
Senior Data Engineer @ DataFlow Inc.
Built and owned the company's core data platform, enabling self-serve analytics for 20+ business teams.
- Delivered Airflow-orchestrated ETL pipelines processing 500GB+ nightly
- Migrated legacy Oracle DWH to Snowflake, cutting storage costs by 40%
- Implemented data quality framework reducing production incidents by 60%
2016 — 2019
On-site
Data Engineer @ Analytics Co.
Developed ETL pipelines and data models supporting product analytics for 5M+ daily active users.
- Built real-time dashboards using Spark Streaming and Kafka
- Designed dimensional data models in PostgreSQL and Redshift
- Automated pipeline monitoring, reducing MTTR from hours to minutes
Projects
Cloud ETL Modernization
Airflow-orchestrated Snowflake pipelines that reduced nightly batch runtime by 45%.
CDC Data Mesh Enablement
Built Kafka-to-Snowflake CDC templates for domain teams to self-serve compliant datasets.