Headline

Software Engineer II @ JPMorganChase | Data Engineering, Backend & Distributed Systems | AWS Certified Data Engineer – Associate

About

I'm a Software Engineer with about 4 years of experience in backend development and data engineering, currently working within Global Banking at JPMorgan Chase. I design and build distributed backend systems and large-scale data pipelines that power analytics and business applications on AWS — from a distributed OpenSearch platform indexing over a billion records with sub-100ms search latency, to a queueing redesign that improved throughput 5x, to a large-scale migration of workflows from Hadoop to AWS that doubled processing speed while cutting infrastructure costs by 25%. My day-to-day work spans Java, Python, and SQL, with hands-on experience across Apache Kafka, PySpark, Apache Airflow, AWS Glue, EMR, Lambda, Step Functions, ECS, Redshift, and OpenSearch. I specialise in building high-throughput, metadata-driven pipelines and backend services where data flows, transformations, and service interactions stay consistent, performant, and easy to maintain — and in owning what I build end-to-end, including production support and on-call. More recently, I've been applying generative AI to real engineering workflows: I built an internal automation tool that evolved from a fixed pipeline into a conversational AI interface, cutting manual release-coordination effort by an estimated 60-70% for my team, and I've worked on embedding generation and semantic search to power retrieval-augmented applications over enterprise data. I'm particularly interested in cloud-based data platforms, event-driven architectures, and backend engineering practices that support clean design and long-term scalability. I'm certified as an AWS Data Engineer – Associate and AWS Cloud Practitioner, and I continue exploring modern data, cloud, and AI technologies to strengthen my technical foundation.

Location

Bengaluru

AI stack

claude code

claude

mcp

Work experience

Software Engineer II at JPMorganChase, Jan 2026 - Present · 10 mos, Architected and delivered a distributed OpenSearch indexing platform using Java and Spring Boot on AWS ECS, managing 100+ OpenSearch indices including production indices with 1B+ records, enabling sub-100 ms search for hundreds of consumers. Redesigned a distributed indexing pipeline using a priority-aware Amazon SQS architecture, achieving a 5× increase in throughput and 83% reduction in processing time while improving scalability and resilience. Took ownership of a cross-team embedding-generation and hydration workflow that powers retrieval for downstream RAG and LLM-based applications over enterprise data, redesigning the pipeline to hydrate a 2.5+ TB dataset in under 12 hours (down from 4-5 days) while cutting infrastructure costs by 50%. Own production support for AWS ECS services and Kubernetes-based data ingestion platforms, using Grafana, Splunk, CloudWatch, and Dynatrace for monitoring, incident response, and root-cause analysis. Mentor junior engineers through code reviews and design discussions, and partner directly with Product stakeholders to translate business requirements into technical solutions. Own platform-level development of agentic automation system, evolving it from an 8-state automated release pipeline into a conversational, natural-language interface powered by Azure OpenAI and a custom tool-calling SDK — enabling Product stakeholders (technical and business) to query release status and shipped JIRAs in plain language, reducing release-manager effort by an estimated 60-70%.

Software Engineer at JPMorganChase, Jul 2023 - Jan 2026 · 2 yrs 7 mos, Bengaluru, Built and operated multiple data ingestion pipelines into OpenSearch — metadata-driven Kafka publishers/consumers with reconciliation workflows for real-time enterprise events, and an event-based hydration pipeline from Amazon S3 using ECS and Glue for scalable batch ingestion — ensuring reliable, fault-tolerant, high-throughput synchronization across sources. Optimized high-throughput distributed Java services using advanced concurrency techniques, JVM profiling, garbage collection tuning, workload throttling, and resource optimization to improve throughput, latency, scalability, and efficiency. Designed and developed metadata-driven Java microservices and a Spring Boot-based API facade routing layer to securely route traffic between AWS and JPMC Private Cloud environments, exposing REST APIs secured with Spring Security, OAuth, and JWT, and automated the underlying cloud infrastructure provisioning using Terraform across AWS ECS, Lambda, IAM, VPC, and cross-account access. Led migration of large-scale data workflows from Hadoop to AWS, rebuilding pipelines with Medallion architecture orchestrated via Airflow, Step Functions, Glue, and EMR, with Redshift, Snowflake, and Databricks for downstream analytics, doubling processing speed and cutting infrastructure costs by 25%. Owned migration of a 2+ TB, 4-year historical audit-log dataset from an on-prem source to AWS Redshift in a cross-account setup, building EMR PySpark pipelines to stage and refine the historical data while engineering a parallel real-time Kafka streaming pipeline (~3M daily events) into a raw layer, then unifying both via an EMR PySpark job into a single dataset feeding stakeholder and Ops reporting dashboards.

Intern at JPMorganChase, Feb 2023 - Jun 2023 · 5 mos, Bengaluru, Karnataka, India

Associate Software Engineer at MAQ Software, Apr 2022 - Jan 2023 · 10 mos, Hyderabad, Built data pipelines and fact tables using Azure Databricks and Blob Storage to support analytics and reporting use cases, and created supporting system documentation to ensure reliability and compliance with industry standards. Implemented CI/CD pipelines using Azure DevOps and Data Factory, reducing deployment time by 50% and increasing team productivity by 25%. Optimized Azure-based workflows in collaboration with cross-functional teams, enhancing system performance and reliability. Built and automated data pipelines feeding Power BI dashboards, applying statistical analysis techniques to surface key business insights for stakeholders.

Intern at HighRadius, Jan 2022 - Apr 2022 · 4 mos, Bengaluru, Karnataka, India, •Built an Invoice/Bill Management application to predict the date of payment and aging bucket of an invoice •Machine Learning using Python, Linear Regression Model, Java Servlets, React, JavaScript were some of the technologies used

Education

Bachelor of Engineering - BE, Computer Science, Chitkara University

Senior Secondary Education, Non-Medical, Lancers Convent School