Abhijeeet Naib

Built scalable, maintenance-friendly data solutions for stakeholders. Managed batch and streaming workflows consuming and writing to sources like Kafka, S3, and Postgres. Designed and developed configurable data quality solutions and SLA monitoring frameworks using Airflow, AWS Lambda, and Postgres. Mentored junior engineers and evaluated technologies like TigerGraph and Delta Lake.

Led a team to design and implement analytical and technical solutions for Albertsons International. Worked with cross-functional teams on digital transformation and cloud migration of Data Warehouse. Successfully tested multiple architectures (Databricks Delta and Snowflake) and implemented CDC methods on Snowflake.

Worked with data scientists and campaign managers to design business and data solutions, implementing flagship products in the banking domain (HDFC, IndusInd, Icici). Designed solution architecture and supported BAU at client locations.

Contributed to product development by creating data pipelines and implementing models using Spark and Scala. Developed features for attrition models and managed billions of data points by tuning code design. Achieved high model accuracy and designed pipelines for automated model training and data preparation.

Streamlined and automated the processing of 500+ scorecards and segments for HDFC, handling data up to 1000Gb's monthly. Acted as a single point of contact for core banking teams. Automated deliverables using Talend and Airflow, and developed housekeeping jobs in Python.

Supported and automated production data pipelines for 55+ compliance applications at the client location (Barclays). Designed a High-Level Monitoring Dashboard using Django, Html, and Css. Reduced daily human effort from 4 hours to minutes through automation using shell scripting, Python, and Selenium.