Lead Engineer @ Samsung R&D Institute India | Data Engineer

Bengaluru · Hybrid

Bengaluru · Hybrid

Bengaluru · Hybrid

Noida

Remote

Remote





Bachelor of Technology, Computational Science
jaypee institute of information technology
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Results-oriented Lead Data Engineer with over four years of experience designing scalable, high-performance data architectures. Proven track record in optimizing TB-scale pipelines, implementing event-driven systems, and driving significant cost reductions through cloud-native migrations. Proficient in AWS, Snowflake, Spark, and Golang, with a consistent focus on enhancing data reliability, operational efficiency, and cross-functional business impact.
Bengaluru, Karnataka
cursor
langchain
langgraph
openai
Lead Engineer at Samsung R&D Institute India - Bangalore, Feb 2026 - Present · 6 mos, Bengaluru · Hybrid, Architected and delivered an event-driven data pipeline on AWS (SQS, SNS, Lambda, S3, Snowflake), using Python and SQL for event processing, with automated recovery (DLQ, reprocessing), enabling near real-time audience targeting; reduced latency by 75% and improved data reliability and observability.
Data engineer II at Samsung R&D Institute India - Bangalore, Mar 2024 - Mar 2026 · 2 yrs 1 mo, Bengaluru · Hybrid, * Designed a segment-based targeting pipeline, re-architecting legacy EMR workflows into Snowflake-native incremental ELT pipelines using advanced SQL and data modeling, processing TB-scale data and reducing operational costs by 30% (saving $1M annually). * Developed an optimized data processing solution in Apache Spark using Roaring Bitmaps for incremental cardinality tracking, eliminating expensive aggregations; reduced shuffle overhead and improved efficiency, enabling faster processing, lower compute costs, and efficient compliance-driven deletions at scale. * Engineered scalable Spark (Scala/Python/SQL) pipelines on AWS EMR for identity resolution (device graph), processing TB-scale data and integrating third-party sources; improving audience targeting accuracy and driving a 20% increase in campaign reach. * Optimized large-scale SQL queries in Snowflake using clustering, partition pruning, and query tuning; reduced costs by minimizing idle time and increasing cluster utilization to 90%.
Data Engineer at Samsung R&D Institute India - Bangalore, Aug 2022 - Feb 2024 · 1 yr 7 mos, Bengaluru · Hybrid, * Developed a reusable data observability and analytics framework supporting vendor onboarding and anomaly detection via config-driven pipelines, ensuring reliable data ingestion and enabling analytics and data-driven decision-making for business stakeholders. * Designed scalable analytical data models in Snowflake for segment translation, supporting downstream reporting and analytics use cases. * Designed and implemented CI/CD pipelines for Snowflake using Flyway, enabling version-controlled and automated deployment of database objects, improving release reliability and reducing manual schema management. * Built a scalable Audience Platform service in Golang, enabling low-latency audience activation and efficient data access for downstream real-time systems.
Software Engineering Intern | API Development at Octro Inc., Feb 2022 - Jul 2022 · 6 mos, Noida, * Developed and maintained backend APIs using Node.js, Express.js, React.js, and MongoDB to support administrative workflows and game management systems. * Designed scalable database schemas and optimized SQL queries to improve backend performance and system reliability.
Full-Stack Developer Internship at Virtuera, Mar 2021 - May 2021 · 3 mos, Remote, Designed and deployed robust back-end infrastructure leveraging Node.js within an MVC architecture framework, while also crafting integration of front-end interfaces utilizing React.js
Technical Content Writer | Crafting Clear, Engaging, and Informative Content at GeeksforGeeks, Aug 2020 - Oct 2020 · 3 mos, Remote, Created problem statements and algorithms, incorporating fundamental data structures and algorithms.
Bachelor of Technology, Computational Science, jaypee institute of information technology