Agrawal Krishna
Software Developer | Backend & Cloud Engineer | Python, FastAPI, Distributed Systems, DevOps (AWS/OCI)
India
2+ years of work experience
Apr 20268 mosPresent
Hyderabad
Migrated and stabilized 9 Data Science APIs into a unified FastAPI service, resolving Spark lifecycle and Docker dependency issues and eliminating fatal JAVA_GATEWAY_EXITED crashes. Modernized the backend by consolidating 5 existing microservices into 2 core services, removing unused APIs and legacy implementations and reducing service-level complexity. Engineered an LLM-driven Data Quality rule engine using LangGraph and Trino, passing 500/500 validation cases across Oracle, Snowflake, Databricks, SQL Server, MySQL, PostgreSQL, and Vertica. Built dialect-aware LLM workflows for database-specific SQL generation and validation, eliminating recurring runtime failures including Oracle ORA-00904, SQL Server CTE issues, and MySQL regex errors. Standardized error handling across 100+ API endpoints spanning 3 microservices using a centralized AppError/ErrorCode architecture, enforcing consistent error contracts and preventing stack-trace leakage to clients.
Nov 20241 yr 2 mosDec 2025
Pune
Architected and built highly scalable, resilient financial automation and data processing pipelines using Python and cloud-native services.
Led the implementation of several key backend integration projects focused on streamlining business operations and complex data transactions.
Developed and maintained robust CI/CD pipelines to ensure rapid and reliable software deployment.
Integrated comprehensive monitoring and logging solutions to proactively manage system health and optimize recovery time.
Collaborated with business stakeholders (Finance, Product) and engineering teams to translate requirements into technical specifications, focusing on auditing capabilities and data accuracy.
Engineered multi-tenant, distributed microservices using industry-standard database, caching, and container technologies.
Nov 20241 yr 2 mosDec 2025
Developed distributed backend microservices using FastAPI, Docker, Kafka, and RabbitMQ across OCI and AWS, supporting 99.98% uptime and 10M+ monthly transactions. Optimized Spark reconciliation pipelines processing 1M+ records, reducing runtime by 90% and cloud spend by 30%. Automated CI/CD and deployment workflows using GitHub Actions, reducing deployment time from 60 to 12 minutes and manual steps by 80%. Implemented application observability using Prometheus, Grafana, and New Relic, contributing to a 40% reduction in MTTR. Contributed to multi-tenant, zero-downtime architecture and integrated 30+ global TLD registries through EPP with multi-region failover.
Feb 20249 mosOct 2024
Pune, Maharashtra, India
Automated ETL and reporting pipelines (Python, MySQL, Airflow), saving 25+ hours per week in manual effort.
Optimized SQL queries and dashboards, improving data processing latency by 60%.
Partnered with product and finance teams to generate real-time insights for business reporting.
Supported cross-team initiatives to standardize analytics and improve data accuracy across departments.
Mar 20235 mosJul 2023
Pune, Maharashtra, India
Integrated Siemens Opcenter with SQL databases via REST APIs, reducing manual reporting by 60%.
Automated backend scripts to convert industrial SQL data to JSON for material-tracking workflows.
Collaborated with engineering and production teams to improve process transparency and reduce system downtime.
Agrawal’s AI Stack
Education
Bachelor of Technology - BTech, Computer Science
Maharashtra Institute of Technology Aurangabad
20194 yrs2023
Bachelor of Technology, Computer Engineering
MIT, Aurangabad
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