Rajesh Sutar

• Architected and optimized Spark–Scala and Snowflake pipelines for high throughput and low latency.
• Improved a major Spark pipeline from 2 hours to 8 minutes using partition pruning, caching, execution tuning, and storage optimization.
• Achieved 30% AWS cost optimization through EMR tuning, auto-scaling strategies, and resource right-sizing.
• Implemented Snowflake performance enhancements, including clustering key design, query tuning, and search optimization.
• Hands-on experience with the AWS ecosystem: ECS for containerized job execution and service orchestration, EMR for large-scale Spark processing and automated cluster lifecycle, Lambda for serverless automation, metadata jobs, and workflow triggers, and a basic understanding of EKS for container orchestration and future platform migrations.
• Led a 7-member engineering team, driving code quality, reviews, mentoring, and onboarding.
• Owned release planning, sprint strategy, and R&D roadmap, ensuring predictable delivery, and technical governance.

• Led Oracle → Cassandra migration using Spark–Scala.
• Designed validation framework ensuring near-zero downtime.
• Managed executors, cluster memory, and performance tuning.
• Guided offshore team and code quality reviews.

• Designed AWS-based pipelines and automated EMR lifecycle.
• Built API Gateway + Lambda workflows.
• Created Terraform modules for automated provisioning.

• Developed Spark-based ingestion and analytics pipelines.
• Prepared deployment documentation and handled hypercare support.

• Led Spark–Scala development team.
• Developed Kafka + Spark Streaming pipelines.
• Managed deployments via TeamCity + Git.

Collabera (Veritas) – Associate SQA Engineer — Python automation

BalaSai Net – Technical Support Engineer — Linux server management & hosting infra

Apostle InfoTech – Sr. Java Developer — Struts/Hibernate-based J2EE apps, team lead