I am looking to build large scale distributed systems, developing the core Backend, creating APIs, picking the right choice of Databases and developing the systems end-to-end
shatadru majumdar
@shatadrumajumdar
SDE 2 @ Rippling | ex-Goldman Sachs | AI Engineering | Backend Engineering | Distributed Systems
What I'm looking for
Software Engineer with 5+ years of experience building backend, payroll, and large-scale data systems at Rippling and Goldman Sachs. Now moving into AI Engineering, with hands-on portfolio work in RAG, LLM workflows, grounding, evaluation, and deterministic guardrails for model outputs. At Rippling, I own end-to-end payroll calculation features used across thousands of client companies, working closely with Product and Compliance from design through rollout. Previously at Goldman Sachs, I built big-data pipelines processing 1B+ rows and later moved into an SDE2 role working on consumer-banking data models across multiple lines of business. Looking to bring the same production ownership and engineering depth to AI applications.
Experience
Work history, roles, and key accomplishments
• Added custom hashing logic in ETL for restricted data columns with Python, Spark,
AWS Secrets Manager, Databricks updating 170 Million+ rows in Snowflake.
• Analyzed data flows and reduced data latency by 30% by doing experimental Spark application parameter tuning and changing partitioning and clustering logic.
• Contributed 1000+ lines of code to building in-house data
streaming platform using Java, Spark, Mockito, JUnit, SQL
• Contributed 6000+ lines of code to create Big Data Extract-Transform-Load (ETL) pipelines processing 700 Million+ rows across 27 tables with Python,
PySpark, Pytest.
• Built data flows from Kafka to AWS S3 and Snowflake using Hadoop, HDFS, MapReduce, HBase, Spark, Hive, YARN
Education
Degrees, certifications, and relevant coursework
shatadru hasn't added their education
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Software and tools used professionally
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