Diagnostic SummaryMETRIC.SYS
ENGINEERChenchukrishna Akkarapalli
TIMELINEJul 2025 - Jan 2026
CATEGORYEvent-Driven System
STACK_BASEFastAPI + Kafka
End-to-End Reconciliation Platform — High-Throughput Financial Matching Engine
01 // Technical Overview
Designed and developed a scalable reconciliation platform with microservices, asynchronous processing, and rule-based matching. Built a Rust-based comparison engine specifically for Excel documents to efficiently identify matched, mismatched, and missing transactions with audit traceability.
02 // Core Architecture
Designed and developed scalable reconciliation microservices with asynchronous processing and rule-based matching.
Built a Rust-based high-speed comparison engine specifically for Excel documents to detect matched, mismatched, and missing transactions.
Built data ingestion and normalization services for multi-format financial data.
Implemented Kafka-based asynchronous processing for scalable transaction workflows.
Developed read-optimized dashboards using PostgreSQL materialized views.
Added audit logging, monitoring, unit/integration testing, and containerized CI/CD deployments.
03 // Flow & Methodology
1Data Ingestion → Ingestion & normalization of multi-source financial feeds
2Kafka Message Bus → Asynchronous event distribution & CQRS / Event Sourcing
3Rust Comparison Engine → High-speed Excel parsing & deterministic rule matching
4Materialized Views → Read-optimized PostgreSQL dashboards for ledger analytics
5Audit & Telemetry → Full traceability logging, monitoring, and compliance trails
6CI/CD Deployment → Dockerized microservices with automated delivery
04 // Tech Stack & Environment
Core Tooling TelemetrySYS.READY
›Languages: Python, Rust
›Frameworks: FastAPI, Django
›Event Bus & Messaging: Apache Kafka
›Database: PostgreSQL (Materialized Views)
›Architecture: CQRS, Event Sourcing, Microservices
›DevOps: Docker, CI/CD, REST APIs
05 // Impact Analysis
✦Built high-performance Excel comparison engine in Rust ensuring deterministic matching.
✦Streamlined asynchronous processing of massive transaction streams using Kafka.
✦Enabled real-time financial discrepancy auditing with complete immutable traceability.
REPORT GENERATED BYChenchukrishna Akkarapalli
