Balakumar Seetharaman Email & Phone Number

United Arab Emirates

Chennai, Tamil Nadu, India

1.Optimized query performance and reduced runtime by implementing efficient indexing, partitioning, and caching strategies for large datasets.2.Managing a team of two Junior Data Engineers, providing mentorship, task delegation, and operational support to a Fortune 50 client, ensuring seamless project delivery.3.Developed and deployed PySpark scripts to automate data quality checks, incorporating robust validation logic and alert mechanisms to identify anomalies proactively.4.Streamlined ETL pipelines to improve data ingestion and transformation processes, reducing latency and enhancing reliability for downstream analytics.5.Collaborated with cross-functional teams to define data architecture, implement best practices, and deliver scalable solutions that meet business requirements.6.Monitored and ensured high availability of data pipelines by setting up logging, monitoring, and automated recovery processes.7.Conducted knowledge-sharing sessions and code reviews, fostering a culture of continuous learning and process improvement within the team.8.Coordinated with stakeholders to understand business requirements, translating them into technical specifications and actionable data solutions.9.Led initiatives to document workflows and create SOPs for operational tasks, reducing response time for production issues and enhancing team efficiency.

Chennai, Tamil Nadu, India

1. Designing stored procedures for clocking systems. 2. Stored procedure query optimizations using indexing. 3. Migrating existing mainframe jobs as spring boot microservice. Contributed more to the business data valuations.

Chennai, Tamil Nadu, India

Chennai Area, India

Built Global merchant repository system Data Pipeline. Data warehouse to uniquely identify a merchant from different sources. Built on AWS EMR with spark 2.6.

Chennai Area, India

Was Part of R&D team. Working on Recommendation system using Spark batch process on standalone clusters. Generated 2k recommendations to each user using plain ALS algorithm. This was achieved purely with Data engineering tech stack. This was built from scratch without cloud systems.

Chennai Area, India

Data Transformation from Hive Using APIs on Spark Execution Engine for Data AnalyticsThe SDAF (Single Source of Data and Analytics Framework) aims to unify data from various sources into a centralized repository. This repository will primarily serve smart services and eventually expand to support a larger segment of our clients. The growing data requirements from CSF and CSTG smart services include a wide spectrum of inter-data and customer-sourced data. Addressing the 5Vs of Big Data—Volume, Velocity, Value, Veracity, and Variety—is critical to meet both current and future business needs.Key Contributions:1.Conducted data profiling and designed schemas for Hive tables based on source tables.2.Implemented solutions using Python on Spark, ensuring efficient data processing.3.Prepared Hive queries to handle incremental records effectively.4.Developed Spark jobs for seamless data ingestion into Hive tables.

Bachelor Of Engineering - Be, Mechanical Engineering, 7.00

Bachelor of Engineering

Higher Secondary, Maths, Physics,Chemistry And Computer Science, 88%

Higher secondary

High School Diploma, 10Th, 8