ashish kumar
@ashishkumar39
Senior Data Engineer building cloud-native ELT, streaming, and lakehouse platforms that cut latency and costs.
What I'm looking for
I’m a Senior Data Engineer with 6+ years architecting cloud-native ELT/ETL pipelines, real-time streaming systems, and lakehouse platforms at enterprise scale. I focus on measurable outcomes—cost reduction, latency improvements, and data quality uplift—across AWS, Snowflake, and Databricks ecosystems.
I build production-grade data foundations using Apache Airflow, dbt, PySpark, and Apache Kafka, with strong DataOps, data observability, and data governance practices. In my current role, I’ve architected 30+ modular ELT pipelines on Snowflake, cutting compute spend by 35% and reducing end-to-end latency from 4 hours to under 30 minutes.
I also deliver governed lakehouse architectures with Databricks Delta Live Tables, medallion (Bronze/Silver/Gold) patterns, Unity Catalog, and reliability-focused orchestration—achieving 99.9% pipeline uptime and enabling schema evolution without downstream breakage. Previously, I led Oracle-to-Redshift migration (>$200K annual savings) and Netezza-to-Snowflake cloud migration (>$150K annual savings), and I hold SnowPro Core, Databricks Data Engineer Professional, and AWS Data Analytics – Specialty certifications.
Experience
Work history, roles, and key accomplishments
Architected 30+ modular ELT pipelines on Snowflake with Apache Airflow, processing 500GB+ of data daily from 10+ sources. Reduced Snowflake compute spend by 35% and cut end-to-end data latency from 4 hours to under 30 minutes while improving data governance and uptime to 99.9%.
Senior Data Engineer
Larsen & Toubro Infotech
Jul 2021 - Dec 2022 (1 year 5 months)
Led Oracle-to-Redshift migration using Amazon Athena, AWS Glue, and S3 staging, delivering $200K+ annual infrastructure savings and improving analytical query performance by 15%. Built PySpark/Databricks batch ETL for 1TB+ daily data, reducing failure rates from 12% to under 1% and cutting average runtime by 30% with $8K/month lower cluster costs.
Designed and implemented 15+ production ETL pipelines in Apache Airflow for client reporting dashboards used by 10,000+ daily active users across 3 business units. Led Netezza-to-Snowflake cloud migration, achieving $150K+ annual cost savings and a 22% query performance boost, while improving data accuracy from 87% to 98% and reducing downstream reporting errors by 60%.
Education
Degrees, certifications, and relevant coursework
SRM Institute of Science and Technology
Bachelor of Technology, Electronics & Communication Engineering
2014 - 2018
Completed a B.Tech in Electronics & Communication Engineering at SRM Institute of Science and Technology from 2014 to 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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