Apr 2022 – Apr 2024 · 2 yrs · Bangalore Urban, Karnataka, India

• Event-Driven Data Lake Architecture:
• Engineered a cutting-edge solution to capture application-generated events.
• Directed the seamless flow of these events into the Data Lake, amplifying reporting and analytics
• capabilities.
• Collaborated on ETL tasks to ensure data integrity and maintain pipeline stability.
• ML Pipeline Optimization:
• Designed and developed an ML Pipeline for automatic deployment of Machine Learning Models in
• Amazon SageMaker.
• Developed workflow that autonomously retrains models with previous day's data. Eliminated manual intervention, ensured streamlined and efficient deployment process.
• Real-time Financial Data Ingestion:
• Developed a dynamic Data Pipeline for real-time ingestion of financial transaction details from
• banks and Financial Information Providers (FIP) using the Account Aggregator Framework.
• Cloud Environment Enhancement:
• Seamlessly incorporated CDK into our tech stack, contributing to the creation of a robust and
• scalable environment for efficient cloud-based applications.
• Strategic AWS Multi-Account Architecture: Elevating Governance:
• Architected comprehensive AWS multi-account setup to segregate workloads and distinct
• business units into separate AWS accounts to enhance governance, strengthen security, and
• organizes role-based access in a more efficient and structured manner.

Aug 2021 – Mar 2022 · 7 mos · Bengaluru, Karnataka, India

• Scaling to Peaks:
• Engineered a robust Data Platform Solution to handle millions of user device data in real time using
• Spark.
• Managed a staggering peak of 1.2TB data per day, ensuring seamless processing and accessibility.
• Real-time Metrics for Machine Learning:
• Enabled instantaneous access to real-time metrics, empowering Machine Learning and Data
• Analytics Pipelines.
• Enhanced the ability to make predictions in real-time, revolutionizing our approach to the credit limit
• approval.
• Reducing Business Response Time:
• The integration of real-time metrics resulted in a significant reduction in business response time
• for credit limit approvals.
• Re-Architecture and Performance Tuning:
• Undertook a strategic re-architecture and performance tuning to prevent the menace of infinite
• data growth.
• Achieved a remarkable balance, reducing overall costs while enhancing the system's performance.
• Fraud Prevention Through Real-time Transaction Processing:
• Engineered real-time Fraud Detection system capable of swiftly identifying and flagging any
• anomalous activity in user card transactions. Leveraged Spark Streaming to process real-time data
• streams, updating and creating user-level metrics to effectively flag anomalies as they occur

Apr 2019 – Sep 2021 · 2 yrs 5 mos · Bangalore Urban, Karnataka, India

• Real-time Data Ingestion to Redshift:
• Designed and developed a high-performance Data Pipeline (ETL) to ingest data from various
• sources to Redshift.
• Managed a peak of 50 GB of data per hour in real-time and batch, catering to analytical
• requirements.
• Resulted in reduced query latency and empowered cross-joining of data, enhancing day-to-day
• reporting efficiency.
• Dynamic Data Platform with Schema Agility:
• Engineered a Data Platform solution with automatic schema detection for real-time schema
• changes.
• Ensured unparalleled agility in adapting to evolving data sources, providing a flexible foundation for
• dynamic data environments.
• Streaming Data Pipeline for Analytics and Predictions:
• Developed a streaming Data Pipeline using Kafka and Spark for real-time and batch processing.
• Facilitated data analytics, predictions, and anomaly detection, elevating our data-driven decision-
• making capabilities.
• Robust Data Platform Architecture:
• Architected a robust Data Platform for the Data Warehouse (Redshift), streamlining and enhancing
• data management processes.
• Unified Data Lake for Seamless Integration:
• Designed and implemented a Data Platform solution to effortlessly ingest and unify various data
• types into a dynamic Data Lake.
• Fostering visualisation and seamless integration, it opened new horizons for data exploration and
• utilisation.

Oct 2018 – Apr 2019 · 6 mos · Bengaluru, India

• Contributed in Informatica Cloud connector Development. Successfully developed Twitter Connector, and done POC for facebook and LinkedIn Connector.

Jul 2016 – Oct 2018 · 2 yrs 3 mos · India

• Contributed in Spring boot, Java based web application backend development.
• Worked in rule engine to dynamically configure business rules.