Aditya G. Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

• Engineered Distributed Trace File Analysis tool operating as a daemon service, enhancing system monitoring and troubleshooting capabilities• Developed a robust framework for granular privilege management (AHF Roles) for non-root users, improving security and access control; mentored two team members on nine critical submodules• Enabled seamless Python-Java communication through PEM conversion, effectively resolving multiple customer issues related to SSL authentication• Conducted in-person technical interviews for campus hiring at IIIT Bangalore 2023 and virtual interviews for 15+ candidates from other institutions. Mentored 10+ new employees as a buddy, promoting a supportive environment for FY2023

Mumbai, Maharashtra, India

• Led two project modules, collaborating with the Project Management Group (PMG) and guided team of four developers through successful implementation. Developed and applied data normalisation, clustering, and bucketing techniques in Scala to streamline data organisation and retrieval• Served as Scrum Master for a team of 10 over a 7-month period, driving agile practices, facilitating sprints, and enhancing team productivity and cohesion

Mumbai, Maharashtra, India

• Designed and implemented high-performance Spark ETL pipeline in Scala, leveraging Azure DataBricks and Data Lake Storage to enhance data processing• Built reusable automation framework to accelerate test writing across the team, significantly improving QA efficiency• Evaluated and standardized Gson Library for JSON parsing, improving consistency and reducing parsing errors

Mumbai, Maharashtra, India

• Facilitated team’s transition to Azure Data Factory, leading efforts to streamline ETL pipeline orchestration and improve data flow efficiency• Developed and implemented fuzzy matching and normalization techniques to eliminate duplicate supplier names, enhancing data accuracy and integrity

Bengaluru, Karnataka, India

• Developed a JSON access logs table to retain critical information often lost in flattened logs, optimising data retention and enhancing log analysis• Incorporated cache-related values into the flattened access log buffer, boosting retrieval speed and improving overall system efficiency• Integrated robust validators within the Sensei Validation Framework to ensure data integrity and streamline validation processes