Moneet Devadig

Operations Associate

Pune, Maharashtra, India2 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in event-driven architecture with Kafka and Akka Streams.
Successfully migrated critical caching services, enhancing performance.
Automated job workflows, significantly reducing manual errors.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech with expertise in event-driven systems and performance optimization.

Contact

Skills

Core Skills

Event-driven ArchitectureBackend EngineeringSystem OptimizationDevops & Automation

Other Skills

Apache KafkaOracle DatabaseAkka StreamsSpring BootREST APIsCaffeine CacheHazelcastBMC Control-MJavaSQLPython (Programming Language)Pandas (Software)Context EngineeringScalaEvent Driven Programming

About

Java Backend Engineer building high-volume, highly available enterprise systems within the Investment Banking domain — now expanding into Context Engineering and Agentic AI to design more intelligent, system-aware architectures. My core work centers on performance optimization, production resilience, and modernization of regulatory reporting platforms. I’ve led backend migrations, optimized caching layers (Hazelcast → Caffeine), automated Control-M workflows, and engineered event-driven systems powered by Kafka — always focusing on robustness, clarity, and long-term maintainability. Recently, I’ve been moving beyond service-level implementation toward system-level intelligence: Built SQL Schema Context — a metadata-driven library that transforms JDBC schema data into structured graph-based context for LLM-powered applications Exploring Agentic AI systems and multi-step reasoning workflows Studying how context, graph traversal, and distributed system design intersect in building intelligent architectures Key Areas of Focus Event-Driven Architecture: Apache Kafka, distributed systems thinking Backend Engineering: Java, Spring Boot, REST APIs, Oracle System Optimization: Caching (Caffeine/Hazelcast), performance tuning Context Engineering: Schema graphs, BFS-based join discovery, metadata abstraction DevOps & Automation: Control-M, CI/CD, production-grade environments I’m increasingly drawn to designing systems that are not just scalable — but context-aware, explainable, and architecturally intelligent. Building toward Systems & Platform Architecture.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Deutsche bank

3 roles

Associate

Promoted

Oct 2025 – Present · 7 mos · Pune, Maharashtra, India · Hybrid

Redesigned and developed an event-driven application leveraging Apache Kafka and Akka Streams to process 100,000+ XMLevents/second of real-time, high-volume regulatory reporting data. Achieved 99.99% uptime and ownership of end-to-end backend development.
Engineered data processing pipelines that fetch data from Oracle databases through multiple connections and publish processed events to Kafka topics, ensuring message ordering, fault tolerance, and transactional integrity.
Refactored legacy components into modular microservices with REST APIs, significantly improving system scalability and maintainability.
Collaborated across DevOps and infrastructure teams to maintain smooth data flow and operational continuity in production-grade distributed environments.

Apache KafkaOracle DatabaseEvent-Driven ArchitectureBackend Engineering

Senior Analyst

Promoted

Oct 2024 – Oct 2025 · 1 yr · Pune, Maharashtra, India · Hybrid

Migrated a critical caching service from Hazelcast to a Caffeine based Spring Boot Microservice, reducing initial cache load time from over 1 hour to 5 minutes and significantly cutting application downtime.
Designed and implemented a Spring Boot REST service as a drop-in replacement for Hazelcast client-server architecture, also reducing application memory footprint from 4GB+ to 2GB heap memory.
Enhanced reference data enrichment and retrieval processes for trade and transaction regulatory submissions (MiFID II, CFTC, CAT).

Spring BootREST APIsBackend EngineeringSystem Optimization

Graduate Analyst

Jul 2023 – Oct 2024 · 1 yr 3 mos · Pune, Maharashtra, India · Hybrid

Automated Control-M job input script generation, reducing manual intervention by 80% and minimizing human errors across deployment environments.
Supported data ingestion, validation, and transformation workflows using Java, Spring Boot, SQL, and
Unix-based components of regulatory systems.
Gained hands-on exposure to Shellscripting, TeamCity, andLinux for CI/CD and orchestration of data pipelines.
Developed strong domain understanding of banking data flow and regulatory frameworks, bridging functional and technical aspects.

BMC Control-MJavaDevOps & AutomationBackend Engineering