Principal Streaming Data Architect for our banking client in Chennai

12+ years of experience delivering data-intensive solutions (data technical architect and engineering). Streaming and event driven data experience

building and utilizing Kafka or queue-based architectures including ordering, replay, schema evolution, and real time observability. Strong hands-on expertise in

Apache Kafka ecosystem

including Kafka Connect, Kafka Streams (KStreams), ksqlDB, schema registry, producer/consumer services using Java. Strong understanding of

transactional integrity, idempotency, and error handling

in financial data flows. Hands-on experience building Java/Spring Boot–based data processing services that produce and consume Kafka events, apply real‑time transformations and enrichment, and persist channel‑optimized views into MongoDB to support low‑latency omni‑channel banking use cases. Experience designing replay safe and resilient consumers for banking workloads. Proven experience implementing and architecting

Change Data Capture (CDC)

data from heterogeneous sources (RDBMS, NoSQL, SaaS) using tools like Debezium, Goldengate, or native connectors. Solid understanding of

MongoDB , Schema design & document modeling, Indexing, sharding techniques and performance tuning. Good to have experience in Azure cosmos for mongo db vCore architecture. Hands-on experience designing

MongoDB

as a real‑time , read‑optimized data serving layer , decoupled from systems of record, for mobile and omni‑channel banking use cases. Performance tuning for low‑latency mobile workloads. Hands-on expertise in architecting omni‑channel and Customer 360 data platforms using MongoDB or similar NoSQL databases. Experience building

event‑driven

materialized views in MongoDB to support mobile apps, web. Strong knowledge of stream and batch processing frameworks such as Spark, Flink, and cloud-native/on-prem data processing services. Expertise in modern data architecture including data mesh, and unified data platforms across on‑prem and cloud (Azure/AWS/GCP). Strong knowledge of

API‑led and event‑driven architectures

working together (REST + async events). Ability to define contracts, versioning, backward compatibility, and

domain events

aligned to banking domains. Hands-on experience building

Java / Spring Boot services

that consume Kafka events and persist real‑time, replay‑safe updates into

MongoDB . Strong understanding of API‑driven architectures and how they integrate with streaming and event platforms.