About

Rajdeep Chakraborty is a highly skilled Data Engineer II at Amazon with over 10 years of experience in various big data and cloud projects. He is passionate about the cloud ecosystem, data pipeline, data quality, automation framework, and data warehousing/Data Vault 2.0 implementation. Rajdeep is always looking for innovative ways to solve complex problems while building end-to-end solutions with customer needs as a top priority. He believes in writing clean, reusable, and modular code, building automated systems that surpass users' expectations, and involve less human intervention. Rajdeep's technical proficiency includes expertise in Data Structure, Algorithm, Big Data Technology, MS Azure, AWS, Informatica, Alteryx, Matillion, ODI, Unix Shell Scripting, Python, Scala Spark, SQL, PL/SQL, Snowflake, Data Pipeline Automation, Data Quality Framework Building, Code review/code quality maintain/code best practices follow, Custom API development, CI/CD using Gitlab, Data Vault 2.0 automation, Data Warehousing Implementation, and Application Integration Proficiency. Rajdeep's portfolio includes successful digital assets such as reusable data migration toolkit in a Box, data pipeline + quality framework, customer 360 views as a Service, and involvement in business case preparation for enterprise data solution roadmap and consultative approach in any business case to derive data value out of it. In his current role at Amazon, Rajdeep is responsible for Global Allocation Model Cost, Units, hours calculation for billions of data volume for worldwide warehouses for Amazon Stores Finance using Scala Spark, Redshift, EMR, S3, Athena. He is also building reusable utilities (validation framework) as part of platform enhancement and using IntelliJ as a coding platform. In his past roles at Cohesity and PwC, Rajdeep implemented data pipeline, data audit framework, reconciliation process, and improved data quality, process, framework & improve data accuracy for strategic & business decisions by stakeholders. He developed custom connectors for Search Unify, Marketo, Asana, Salesforce, Netsuite using Python & encapsulation of framework in Matillion for centralized modeling of customer, sales, finance, marketing data in Data Vault 2.0. He also has experience in client-facing consulting roles to ensure smooth sailing data & process migration from legacy to new technical stack with deduplication, reconciliation & audit framework in place to transform bad quality records into system compatible using Alteryx, PL SQL, and improve accuracy up to 99