Shrey Talan
Software Engineer @J.P. Morgan
Signup · Get unlimited contacts
WORK HISTORY
Software Engineer @J.P. Morgan
Glasgow, GB
Architected and migrated enterprise-grade event and notification platforms into modular Java and scala based Spring Boot microservices running on AWS (ECS, Lambda, RDS, S3), delivering 99.99 % uptime and sub-second response times.Engineered Kafka Streams topologies for real-time ingestion, enrichment, and aggregation — implementing exactly-once semantics, windowed joins, and replayable state stores to support millions of daily transactions.Built data lake pipelines (Kafka → Python ETL → S3 → Glue → Athena → Spark) to power delivery, bounce, and compliance analytics — reducing reporting latency from 3 hours to under 5 minutes.Developed batch + streaming data processing jobs in Java, Python, and Spark Structured Streaming, supporting downstream ML, BI, and audit layers.Implemented observability, DLQ recovery, circuit breakers, and distributed tracing (OpenTelemetry + Grafana) to ensure reliability and end-to-end visibility.Spearheaded an enterprise-grade email orchestration system encompassing dynamic distribution list (DL) expansion, bounce management automation, recipient validation, and OAuth2-secured access. Enabled high-throughput delivery by integrating AWS SES for large-scale batch dispatches with exceptional reliability.Mentored engineers and standardized best practices for microservices architecture, CI/CD (Jenkins, Helm), and Infrastructure as Code (CloudFormation, Terraform) across teams.
EDUCATION
BML Munjal University
Bachelor of Technology (B.Tech.), Computer Science
University of Glasgow
Masters of Science, Computer Science
ABOUT SHREY TALAN
I’m a Backend Engineer with Data Engineering expertise, specializing in building scalable, event-driven, and cloud-native systems using Java, Scala, Spring Boot, Kafka, and AWS. Over the past 6+ years, I’ve designed and delivered high-performance backend services and real-time data pipelines that power analytics, compliance, and operational workflows for enterprise-scale platforms in finance and telecom.My work bridges backend development and data engineering — from designing microservices architectures and streaming pipelines to implementing Python-based ETL workflows and data lake integrations on AWS. I focus on reliability, observability, and performance, ensuring that every system I build is resilient, auditable, and analytics-ready. Core Expertise Backend Engineering – Java (8|11|17/21),Scala, Python, Spring Boot, Spring Cloud, JPA, WebFlux Data Engineering – Kafka Streams, AWS Glue, Athena, Airflow, Python (pandas) Cloud & DevOps – AWS (ECS, Lambda, S3, RDS), Docker, Kubernetes, Jenkins, Terraform Databases – PostgreSQL, MySQL, Oracle, MongoDB, Redis Monitoring & Observability – Prometheus, Grafana, CloudWatch AI/ML & LLMs: LangChain, OpenAI APIs, Embeddings, Vector Databases (Pinecone, OpenSearch), RAG Pipelines MLOps & Automation: MLflow, SageMaker, HuggingFace transformers, CI/CD PipelinesI’m passionate about distributed systems, real-time streaming, and backend innovation — bringing data, infrastructure, and engineering together to create systems that are both intelligent and scalable.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.