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@mohali
Senior Data Engineer delivering scalable cloud-native data platforms, real-time analytics, and MLOps solutions.
I am a results-driven Senior Data Engineer with 10+ years designing, optimizing, and scaling data pipelines, data warehouses, and big-data platforms across fintech, SaaS, and consulting. I specialize in cloud-native ETL/ELT (5TB+ daily), real-time streaming, MLOps, and data governance, and I focus on improving data quality, performance, cost optimization, and compliance (HIPAA, GDPR, SOC-2).
At Motive I architected real-time Kafka + Spark pipelines that cut fraud detection lag to under 5 minutes, migrated legacy ETL to AWS Glue/Redshift/Snowflake to reduce costs 35% and raise availability to 99.95%, and introduced automated deployment and MLOps workflows to shorten release and model-deployment times. I mentor engineers, embed observability, and align data strategy with business KPIs to drive measurable impact.
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Work history, roles, and key accomplishments
Motive
May 2020 - Present (5 years 6 months)
Architected and scaled real-time data pipelines with Kafka and Spark, reducing fraud detection lag from hours to under 5 minutes and improving availability to 99.95% while cutting ETL costs 35%.
Confiz
May 2017 - Apr 2020 (2 years 11 months)
Designed ETL and orchestration workflows with Airflow and PySpark handling 200M+ monthly transactions and deployed multi-cloud warehouses to accelerate reporting performance by 50%.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science; details such as institution name and attendance dates were not provided.
Software and tools used professionally
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