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Saksham Garg
Analyst at JPMorgan Chase & Co.
About
Saksham Garg is an upcoming analyst at JP Morgan Chase with a rich experience in the pharmaceuticals, e-commerce, and research sectors. He is currently working as a Data Engineer at CityMall, where he is leading the Data Engineering Team. His team is responsible for building the ultimate data migration service, creating scheduled data pipelines with full system-recovery, customizable data correction, and optimized storage. In addition, he has added the ability to migrate data from popular data storages like MongoDB, PgSQL, API services (Facebook, Google ads, Clevertap), Kafka consumer, and AWS S3 to multiple destinations, including PgSQL, AWS S3, and AWS Redshift. Saksham has strengthened the service with slack notifications, sigterm handling, 4 operating modes – syncing, logging, dumping, and mirror, and automated testing. He has mentored a team of 6 to productionize on Kubernetes cluster and created a dashboard to add job visibility. Before joining CityMall, Saksham has worked as an Analytics Intern at Dr. Reddy's Laboratories, where he undertook several ML and NLP based projects for the QA Team. He was awarded a pre-placement offer for excellent deliverables and significant contribution in 3 projects within a span of 2 months. Saksham has also worked as a Research Intern at DRDO, where he worked on a research project with LASTEC, DRDO to simulate the temperature profile inside DPALs using MATLAB. He is a Bachelor of Technology from the Indian Institute of Technology, Delhi, with a major in B. Tech. Saksham's tech stack includes Data Engineering, AWS, test, Research Scientist, NLP, Kubernetes, MongoDB, Kafka, Software Engineer, qa, ML, and Search. With relevant experience of 0.85 years, Saksham is a highly skilled and knowledgeable professional who is committed to driving growth and innovation in his field.
Education Overview
• iit delhiindian institute of technology delhi
Companies Overview
• citymall
• dr. reddys laboratories
• drdo
Experience Overview
2.1 Years
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