
Pinky Rathod
@pinkyrathod
I build real-time, cloud-native data platforms that improve reliability, speed, and cost efficiency.
What I'm looking for
At Accenture, I architected a near-real-time Contact Registry platform processing 100K+ daily events and reduced data propagation latency by ~70% using Kafka, AWS Lambda, and Step Functions. I also built CDC, identity-resolution, and billing event pipelines that improved data accuracy and reduced pipeline failures by ~40%.
Across nearly seven years in data engineering, I've migrated ETL workloads to cloud-native architectures, cut processing time by ~50%, improved Snowflake throughput, and led teams of 7–8 engineers. I use AWS, Snowflake, MongoDB, Python, PySpark, and GitHub Copilot to deliver scalable data solutions and mentor engineers.
Experience
Work history, roles, and key accomplishments
Architected a near real-time contact registry platform processing 100K+ daily events with ~15-min SLA, and designed event-driven pipelines reducing latency by ~70%. Led and mentored 7-8 engineers, achieving consistent on-time sprint delivery.
Built serverless pipelines and Step Functions orchestration with restart-from-failure capability, reducing recovery time by ~60%. Implemented async Snowflake processing and automated validation frameworks.
Built near real-time Snowflake pipelines aggregating 10+ data sources into business metrics. Led code reviews and Agile ceremonies, maintaining high sprint velocity and mentoring junior engineers.
Built data ingestion frameworks across multiple sources and migrated legacy ETL to cloud-native architecture, cutting processing time by ~50%. Automated ETL orchestration and ensured zero data loss.
Education
Degrees, certifications, and relevant coursework
Vivekanand Education Society's Institute of Technology
Bachelor of Engineering, Information Technology
Grade: 8.70 CGPI
Bachelor of Engineering in Information Technology with a CGPI of 8.70.
Vivekanand Education Society's Polytechnic
Diploma, Computer Engineering
Grade: 86.50%
Diploma in Computer Engineering with a score of 86.50%.
NVM
Secondary School Certificate, General Studies
Grade: 87.20%
Secondary School Certificate (SSC) with a score of 87.20%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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