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Dhakad Bhagat Singh

@dhakadbhagatsingh

I build scalable batch and real-time data pipelines for faster lending decisions.

India
Message

At Axis Bank, I build near-real-time lending data solutions that cut loan application visibility to under 10 minutes and improve operational efficiency. I design ETL and streaming pipelines with Python, SQL, PySpark, Apache Kafka, Informatica, and Apache Spark, including a migration from Hive to Apache Iceberg that lowered query latency by approximately 40%.

I've also deployed an XGBoost mortgage foreclosure propensity model validated on Out-of-Time data with 0.78 AUC-ROC and 72% recall. My work spans data modeling, cloud pipelines, CI/CD, and stakeholder collaboration across credit, lending, and risk teams.

Experience

Work history, roles, and key accomplishments

Axis Bank Ltd logoAL
Current

Data Engineer

Axis Bank Ltd

Aug 2024 - Present (2 years 1 month)

Architected a scalable near-real-time login-to-sanction fact layer using Lambda architecture, reducing loan application visibility lag from hours to under 10 minutes. Designed and developed scalable ETL pipelines using SQL, Python, PySpark, Informatica PowerCenter, and Informatica Cloud (IICS), improving processing performance by 30%.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology, Gandhinagar logoIG

Indian Institute of Technology, Gandhinagar

Bachelor of Technology, Mechanical Engineering

2020 - 2024

Grade: 8.2/10

Pursued a Bachelor of Technology with a major in Mechanical Engineering and a specialization in Computer Science & Engineering, achieving a CGPA of 8.2/10.

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