nikhil chadha

Led a Data Engineering Team of 20 members for the GAP client, building a Customer360 Master Data Store. Reduced dependency on a SPOC Data Architect by setting up SMEs for different project implementation areas.

Advocated a comprehensive 4-Level Medallion Architecture and a Bronze Layer Data Dictionary Approach for data classification and privacy compliance. Developed a SQL Code Conversion Utility to accelerate migration from Synapse to Spark SQL.

Spearheaded and owned the Data Analytics Solution for the Viva Goals Product, designing and developing the data lake-house backend architecture, data marts, and data pipelines. Engineered configuration-driven frameworks for data ingestion, ETL, and data sanity checks.

Earned a position as a Core Member in the Centre of Excellence (CoE) of Data Engineering and Data Modelling. Designed and developed Insights and QB Cash Data Marts with high extensibility, flexibility, and performance.

Accomplished requirement gathering, high-level design, and base framework development for the Experian BIS Salt Project, including Mainframe data migration into Cloudera Cluster. Developed a data model for persistence with consumer data consolidated in a single HBase record.

Interacted with prospective customers to understand their requirements for data solutions, providing high-level designs and prototypes. Engaged with data scientists for data exploration and operationalizing models with Spark.

Engineered a Hadoop-based pipeline and redesigned the Traditional Oracle Data Warehouse to scale up to a Big Data Lake Solution, processing 100% logs for viewership, device usage, and advertising insights. Solved critical scalability issues in Second-By-Second Reports by architecting Data Cubes, increasing report generation speed by 80%.

Studied Electronics and Communication engineering. Gained foundational knowledge in electronic circuits, communication systems, and related fields.