Headline

SDE-II @Pattern Technologies | Former Summer Intern’22 @Barclays | COEP’s 23

About

I'm a Software Engineer passionate about building scalable backend systems and data-driven platforms that transform complex business data into actionable insights. With hands-on experience in backend development, data engineering, and system design, I enjoy architecting high-performance APIs, automating ETL pipelines, and optimizing data synchronization workflows that handle millions of records daily. My work focuses on enhancing system reliability, data consistency, and performance at scale, leveraging tools like Ruby on Rails, Python, Airflow, Snowflake, and PostgreSQL. Quick learner with strong problem-solving skills and a collaborative approach. I take ownership of projects end-to-end, ensuring systems are not just functional but reliable, maintainable, and built to last. Deeply interested in exploring new approaches to data quality automation, distributed systems, and performance optimization.

Location

Pune District

AI stack

claude code

claude

cursor

elevenlabs

gemini

github copilot

Work experience

Software Developer at Pattern®, Jun 2023 - Present · 3 yrs 3 mos, Pune, I contribute to the core analytics and data platforms that power insights for 2,000+ brands and over 1.5M products. My role bridges the gap between scalable backend architecture and high-performance data engineering. Key Contributions: ● Scalable Backend Systems: Architected and optimized APIs handling multi-year datasets (billions of records), significantly improving system responsiveness and reliability for enterprise users. ● Distributed Pipelines: Designed fault-tolerant data pipelines using AWS SQS and background workers, processing millions of records daily with low latency. ● Automation & Efficiency: Built a configurable scheduling system for automated analytics reporting, which reduced manual operational effort by 80% and improved delivery SLAs. ● Data Reliability: Engineered multi-source synchronization strategies (incremental, blue-green) achieving 99.9% data consistency across platforms. ● Performance Engineering: Optimized complex ETL workflows and SQL indexing, resulting in a 50% performance boost for analytical queries on large-scale datasets. ● Quality & Observability: Integrated automated data-quality checks and monitoring to reduce production incidents and ensure long-term maintainability. Tech Stack: Ruby on Rails, Python, PostgreSQL, Snowflake, ClickHouse, DuckDB, AWS SQS, Airflow, ETL, Astronomer, Soda.

Software Engineer Internship at Barclays, Jun 2022 - Jul 2022 · 2 mos, Pune, Designed and built a centralized web-based system for analyzing and monitoring NuGet dependencies across global repositories, streamlining the dependency management lifecycle. Key Contributions: ● Dependency Automation: Engineered a full-stack application to track NuGet package versions, reducing manual dependency review time by 90% through automated updates and real-time analysis. ● Real-time Monitoring: Developed robust frontend and backend APIs to facilitate live reporting of package compliance, security, and version health. ● Automated Reporting: Implemented an automated summary engine that dispatched detailed health reports via email, ensuring stakeholders remained informed on critical software updates. Tech Stack: .NET/C#, Web APIs, SQL, Frontend development, Automated Reporting.

Head of Purchase at MindSpark COEP, Mar 2021 - Feb 2022 · 1 yr, Pune, Maharashtra, India

Education

Bachelor of Technology - BTech, Computer Engineering, COEP Technological University

Public links

github: https://github.com/JayeshLohar

leetcode: https://leetcode.com/Jayesh001

codeforces: https://codeforces.com/profile/JayeshGadilohar