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Hemanth Jamili

Staff Engineer @ Azira | Java | SpringBoot | Microservices | PySpark | Apache Iceberg | VectorSearch | RAG | AppliedAI | 9+ years experience | Software Development | AdTech | DSP | RTB

Greater Bengaluru Area

9+ years of work experience

Azira
Jul 20261 moPresent

Bengaluru, Karnataka, India

๐Ÿ”ฅ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ: ๐—Ÿ๐—ฎ๐—ฟ๐—ด๐—ฒ-๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ ๐—œ๐—ฑ๐—ฒ๐—ป๐˜๐—ถ๐˜๐˜† ๐—ฅ๐—ฒ๐˜€๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป & ๐—œ๐—— ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐Ÿงต ๐€๐›๐จ๐ฎ๐ญ: Re-architected a legacy HTTP/MongoDB identity platform into a ๐—ฆ๐—ฝ๐—ฎ๐—ฟ๐—ธ-๐—ป๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ถ๐˜€๐˜๐—ฟ๐—ถ๐—ฏ๐˜‚๐˜๐—ฒ๐—ฑ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ using Apache Spark, Apache Iceberg, EMR-on-EKS, and Airflow to resolve large-scale incoming identity data against a growing historical dataset. ๐Ÿš€ ๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ & ๐Š๐ž๐ฒ ๐€๐œ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ข๐ฌ๐ก๐ฆ๐ž๐ง๐ญ๐ฌ: โ€ข ๐—ฅ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ฒ๐—ฑ ๐—ฝ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€๐—ถ๐—ป๐—ด ๐˜๐—ถ๐—บ๐—ฒ from ~18โ€“20 hours to ~60 minutes. โ€ข ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ๐—ฑ ๐˜๐—ต๐—ฒ ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ to 65B+ production records while processing ๐Ÿญ๐Ÿฌ๐—•+ ๐—ถ๐—ป๐—ฐ๐—ผ๐—บ๐—ถ๐—ป๐—ด ๐—ฟ๐—ฒ๐—ฐ๐—ผ๐—ฟ๐—ฑ๐˜€ ๐—ฑ๐—ฎ๐—ถ๐—น๐˜†. โ€ข ๐—”๐—ฐ๐—ฐ๐—ต๐—ถ๐—ฒ๐˜ƒ๐—ฒ๐—ฑ ๐˜‡๐—ฒ๐—ฟ๐—ผ ๐—ข๐—ข๐— ๐˜€ and zero disk spills during high-volume processing. โ€ข ๐—˜๐—น๐—ถ๐—บ๐—ถ๐—ป๐—ฎ๐˜๐—ฒ๐—ฑ ๐—ฟ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฟ๐—ถ๐—ป๐—ด ๐—ผ๐˜‚๐˜๐—ฎ๐—ด๐—ฒ๐˜€ and manual SRE interventions required by the legacy system. โ€ข ๐—”๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—œ๐—— ๐—ฎ๐˜ƒ๐—ฎ๐—ถ๐—น๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜† across downstream systems while improving overall data consistency. ๐Ÿ“ˆ ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐ˆ๐ฆ๐ฉ๐ฅ๐ž๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง: โ€ข ๐——๐—ฒ๐˜€๐—ถ๐—ด๐—ป๐—ฒ๐—ฑ ๐˜€๐—ฐ๐—ฎ๐—น๐—ฎ๐—ฏ๐—น๐—ฒ ๐˜„๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ to identify existing identities and generate IDs for unseen data. โ€ข ๐—œ๐—บ๐—ฝ๐—น๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—œ๐—ฐ๐—ฒ๐—ฏ๐—ฒ๐—ฟ๐—ด ๐—ฆ๐˜๐—ผ๐—ฟ๐—ฎ๐—ด๐—ฒ ๐—ฃ๐—ฎ๐—ฟ๐˜๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—๐—ผ๐—ถ๐—ป๐˜€ to enable efficient large-scale identity resolution. โ€ข ๐—ฃ๐—ฟ๐—ฒ๐˜ƒ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—ฑ๐˜‚๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ฒ ๐—œ๐—— ๐—ฎ๐˜€๐˜€๐—ถ๐—ด๐—ป๐—บ๐—ฒ๐—ป๐˜๐˜€ by designing specialized serialized resolution workflows. โ€ข ๐—ง๐—ฟ๐—ฎ๐—ฐ๐—ธ๐—ฒ๐—ฑ ๐—ถ๐—ป๐—ฐ๐—ฟ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—น ๐—ฎ๐˜๐˜๐—ฟ๐—ถ๐—ฏ๐˜‚๐˜๐—ฒ๐˜€, including first-seen and last-seen metrics across datasets. โ€ข ๐— ๐—ฎ๐—ถ๐—ป๐˜๐—ฎ๐—ถ๐—ป๐—ฒ๐—ฑ ๐—ฎ๐—ป ๐—ผ๐—ฝ๐˜-๐—ผ๐˜‚๐˜ ๐—ฑ๐—ฎ๐˜๐—ฎ๐˜€๐—ฒ๐˜ using Iceberg to strictly exclude opted-out identities. โ€ข ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—บ๐—ฒ๐˜๐—ฎ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฐ๐—น๐—ฒ๐—ฎ๐—ป๐˜‚๐—ฝ and table compaction to eliminate small-file fragmentation.
Azira
Apr 20242 y 3 moJul 2026

Bengaluru, Karnataka, India

Azira, the worldโ€™s largest source of intelligence on People, Places, and Products, is the global leader in Data Intelligence empowering organizations of all sizes to make smart, strategic decisions delivering optimal business performance. - Leading the development of Azira's DSP Product "Engage 2.0," is a Demand Side Platform(DSP) that allows its users to create, manage, and deliver their online digital marketing campaigns and places databases across multiple exchanges and various types including mobile, desktop, OOH, and CTV campaigns. - Spearheading the Near's Authorization & Authentication, User and Tenant management services. - Building and managing the development of Near's Pixel Manager, a versatile platform to track the online traffic of web users. - Playing a key role in designing and architecting Azira's platform, by creating reusable backend components such as Global Exception handling, emailer service, Consul service, etc., resulting in improved efficiency and scalability across multiple products of Azira. This also reduced around 30% of boilerplate code in all the products.
Azira
Oct 20212 yrs 7 mosApr 2024

Bengaluru, Karnataka, India

- Worked on migrating the applications from EC2 web nodes to AWS ECS which saved the annual infra cost by 40%. - Actively participating in code reviews, providing valuable feedback and suggestions to the team to enhance code quality and maintainability along with clear and comprehensive documentation for backend services.
Manhattan Associates
Jan 20201 y 8 moSep 2021

Bengaluru, Karnataka, India

Software Developer in R&D Team of Demand Forecasting and Replenishment Products. My responsibilities include understanding the functional requirements, preparing Technical Specification documents, and developing the new features for the current and future releases. Also supporting the earlier releases and resolving customer-reported issues within SLA. Technologies which I have worked on: J2EE, Spring Framework, Hibernate, JSP, Oracle, JMS.
Nissan Motor Corporation
Dec 20181 y 1 moJan 2020

Trivandrum, Kerala, India

* Successfully developed and implemented a Voice-based Command Recognition engine using Python and Machine Learning, which increased the number of cars that undergo the final inspection process. * As a full-stack developer, I have worked on developing new features based on the business requirement. * Developed new UI screens for the Outbound Logistics system for Nissan-Renault Alliance. * Developed the existing feature to adopt the new business requirements. * Developed new Rest-end points by using the Spring boot framework at Middleware. * Created the new database tables and corresponding Middleware classes and AngularJS Components as per the requirement. * Promoted the codebase to higher environments to get the signoffs from the business users.
Tata Consultancy Services
Jun 20171 yr 6 mosNov 2018

Bengaluru, Karnataka, India

I joined TCS by clearing "TCS CodeVita 2016" and started my career and worked for JPMorgan Chase from TCS. Developed multiple procedures in PL/SQL for measuring the data-quality to filter out any outliers from the database. Individual contributor for a PoC to automate manual testing tasks of comparing the data-quality in Cognos BI reports and reduced a significant amount of QA turnaround time. I had a great learning experience in Professional Work-Culture under a Strong Agile Team. Member of DevOps Champions team to develop DevOps culture among the team members. Analyzing the Customer Requirements and formalizing into a working software system.

Hemanthโ€™s AI Stack

claude code
claude code
gemini
gemini
github copilot
github copilot
kiro
kiro
mcp
mcp
githubcopilot
githubcopilot

Education

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Post Graduate Diploma in Business Management, Information Technology & Systems Management

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

20202 yrs2022
NRI University, AP

Bachelor of Technology (B.Tech.), Computer Software Engineering

NRI University, AP

20134 yrs2017

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Headline

Staff Engineer @ Azira | Java | SpringBoot | Microservices | PySpark | Apache Iceberg | VectorSearch | RAG | AppliedAI | 9+ years experience | Software Development | AdTech | DSP | RTB

About

๐—ฆ๐˜๐—ฎ๐—ณ๐—ณ ๐—ฆ๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ with 9+ years of experience designing, re-architecting, and scaling high-throughput backend platforms and cloud-native applications. My core expertise spans Java, Spring Boot, microservices, AWS, distributed data processing, AdTech, and Applied AI. Currently at Azira, I lead the architecture and development of large-scale backend and data platforms. I am passionate about solving complex engineering bottlenecks, driving technical excellence, and mentoring teams. ๐—ž๐—ฒ๐˜† ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น ๐—”๐—ฐ๐—ต๐—ถ๐—ฒ๐˜ƒ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€: โ€ข ๐— ๐—ฎ๐˜€๐˜€๐—ถ๐˜ƒ๐—ฒ-๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ ๐—œ๐—ฑ๐—ฒ๐—ป๐˜๐—ถ๐˜๐˜† ๐—ฅ๐—ฒ๐˜€๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป: Re-architected a data platform to resolve identities against a 65B+ historical dataset. By utilizing Apache Spark, Apache Iceberg, and EMR-on-EKS, I successfully scaled the system to process 10B+ daily incoming records while slashing processing time from ~20 hours to ~60 minutes. โ€ข ๐—›๐—ถ๐—ด๐—ต-๐—ง๐—ต๐—ฟ๐—ผ๐˜‚๐—ด๐—ต๐—ฝ๐˜‚๐˜ ๐—ฅ๐—ฒ๐—ฎ๐—น-๐—ง๐—ถ๐—บ๐—ฒ ๐—•๐—ถ๐—ฑ๐—ฑ๐—ถ๐—ป๐—ด: Architected a distributed DSP and RTB platform handling 100K+ QPS along with multiple SSP/Ad-Exchanges integrations. โ€ข ๐—”๐—ฝ๐—ฝ๐—น๐—ถ๐—ฒ๐—ฑ ๐—”๐—œ & ๐—ฆ๐—ฒ๐—บ๐—ฎ๐—ป๐˜๐—ถ๐—ฐ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต: Built an AI-powered search platform leveraging vector search, embeddings, AWS Bedrock, and LLM-powered retrieval. โ€ข ๐— ๐—Ÿ ๐—œ๐—ป๐˜๐—ฒ๐—ด๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป (๐—ก๐—ถ๐˜€๐˜€๐—ฎ๐—ป): Previously developed an ML-powered voice command recognition engine, successfully deployed at the Oppama plant in Japan to streamline manufacturing inspection workflows. ๐—–๐—ผ๐—ฟ๐—ฒ ๐—–๐—ผ๐—บ๐—ฝ๐—ฒ๐˜๐—ฒ๐—ป๐—ฐ๐—ถ๐—ฒ๐˜€: System Design | Distributed Data Processing | Backend Modernization | Cloud Infrastructure & Cost Optimization | CI/CD Transformation If you are looking for a backend engineering leader to build reliable, high-performance architectures, let's connect and discuss opportunities to build impactful products together.

Location

Greater Bengaluru Area

AI stack

claude code

gemini

github copilot

kiro

mcp

githubcopilot

Work experience

Staff Software Engineer at Azira, Jul 2026 - Present ยท 1 mo, Bengaluru, Karnataka, India, ๐Ÿ”ฅ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ: ๐—Ÿ๐—ฎ๐—ฟ๐—ด๐—ฒ-๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ ๐—œ๐—ฑ๐—ฒ๐—ป๐˜๐—ถ๐˜๐˜† ๐—ฅ๐—ฒ๐˜€๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป & ๐—œ๐—— ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐Ÿงต ๐€๐›๐จ๐ฎ๐ญ: Re-architected a legacy HTTP/MongoDB identity platform into a ๐—ฆ๐—ฝ๐—ฎ๐—ฟ๐—ธ-๐—ป๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ถ๐˜€๐˜๐—ฟ๐—ถ๐—ฏ๐˜‚๐˜๐—ฒ๐—ฑ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ using Apache Spark, Apache Iceberg, EMR-on-EKS, and Airflow to resolve large-scale incoming identity data against a growing historical dataset. ๐Ÿš€ ๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ & ๐Š๐ž๐ฒ ๐€๐œ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ข๐ฌ๐ก๐ฆ๐ž๐ง๐ญ๐ฌ: โ€ข ๐—ฅ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ฒ๐—ฑ ๐—ฝ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€๐—ถ๐—ป๐—ด ๐˜๐—ถ๐—บ๐—ฒ from ~18โ€“20 hours to ~60 minutes. โ€ข ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ๐—ฑ ๐˜๐—ต๐—ฒ ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ to 65B+ production records while processing ๐Ÿญ๐Ÿฌ๐—•+ ๐—ถ๐—ป๐—ฐ๐—ผ๐—บ๐—ถ๐—ป๐—ด ๐—ฟ๐—ฒ๐—ฐ๐—ผ๐—ฟ๐—ฑ๐˜€ ๐—ฑ๐—ฎ๐—ถ๐—น๐˜†. โ€ข ๐—”๐—ฐ๐—ฐ๐—ต๐—ถ๐—ฒ๐˜ƒ๐—ฒ๐—ฑ ๐˜‡๐—ฒ๐—ฟ๐—ผ ๐—ข๐—ข๐— ๐˜€ and zero disk spills during high-volume processing. โ€ข ๐—˜๐—น๐—ถ๐—บ๐—ถ๐—ป๐—ฎ๐˜๐—ฒ๐—ฑ ๐—ฟ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฟ๐—ถ๐—ป๐—ด ๐—ผ๐˜‚๐˜๐—ฎ๐—ด๐—ฒ๐˜€ and manual SRE interventions required by the legacy system. โ€ข ๐—”๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—œ๐—— ๐—ฎ๐˜ƒ๐—ฎ๐—ถ๐—น๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜† across downstream systems while improving overall data consistency. ๐Ÿ“ˆ ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐ˆ๐ฆ๐ฉ๐ฅ๐ž๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง: โ€ข ๐——๐—ฒ๐˜€๐—ถ๐—ด๐—ป๐—ฒ๐—ฑ ๐˜€๐—ฐ๐—ฎ๐—น๐—ฎ๐—ฏ๐—น๐—ฒ ๐˜„๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ to identify existing identities and generate IDs for unseen data. โ€ข ๐—œ๐—บ๐—ฝ๐—น๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—œ๐—ฐ๐—ฒ๐—ฏ๐—ฒ๐—ฟ๐—ด ๐—ฆ๐˜๐—ผ๐—ฟ๐—ฎ๐—ด๐—ฒ ๐—ฃ๐—ฎ๐—ฟ๐˜๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—๐—ผ๐—ถ๐—ป๐˜€ to enable efficient large-scale identity resolution. โ€ข ๐—ฃ๐—ฟ๐—ฒ๐˜ƒ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—ฑ๐˜‚๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ฒ ๐—œ๐—— ๐—ฎ๐˜€๐˜€๐—ถ๐—ด๐—ป๐—บ๐—ฒ๐—ป๐˜๐˜€ by designing specialized serialized resolution workflows. โ€ข ๐—ง๐—ฟ๐—ฎ๐—ฐ๐—ธ๐—ฒ๐—ฑ ๐—ถ๐—ป๐—ฐ๐—ฟ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—น ๐—ฎ๐˜๐˜๐—ฟ๐—ถ๐—ฏ๐˜‚๐˜๐—ฒ๐˜€, including first-seen and last-seen metrics across datasets. โ€ข ๐— ๐—ฎ๐—ถ๐—ป๐˜๐—ฎ๐—ถ๐—ป๐—ฒ๐—ฑ ๐—ฎ๐—ป ๐—ผ๐—ฝ๐˜-๐—ผ๐˜‚๐˜ ๐—ฑ๐—ฎ๐˜๐—ฎ๐˜€๐—ฒ๐˜ using Iceberg to strictly exclude opted-out identities. โ€ข ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—บ๐—ฒ๐˜๐—ฎ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฐ๐—น๐—ฒ๐—ฎ๐—ป๐˜‚๐—ฝ and table compaction to eliminate small-file fragmentation.

Lead Software Engineer at Azira, Apr 2024 - Jul 2026 ยท 2 y 3 mo, Bengaluru, Karnataka, India, Azira, the worldโ€™s largest source of intelligence on People, Places, and Products, is the global leader in Data Intelligence empowering organizations of all sizes to make smart, strategic decisions delivering optimal business performance. - Leading the development of Azira's DSP Product "Engage 2.0," is a Demand Side Platform(DSP) that allows its users to create, manage, and deliver their online digital marketing campaigns and places databases across multiple exchanges and various types including mobile, desktop, OOH, and CTV campaigns. - Spearheading the Near's Authorization & Authentication, User and Tenant management services. - Building and managing the development of Near's Pixel Manager, a versatile platform to track the online traffic of web users. - Playing a key role in designing and architecting Azira's platform, by creating reusable backend components such as Global Exception handling, emailer service, Consul service, etc., resulting in improved efficiency and scalability across multiple products of Azira. This also reduced around 30% of boilerplate code in all the products.

Senior Software Engineer at Azira, Oct 2021 - Apr 2024 ยท 2 yrs 7 mos, Bengaluru, Karnataka, India, - Worked on migrating the applications from EC2 web nodes to AWS ECS which saved the annual infra cost by 40%. - Actively participating in code reviews, providing valuable feedback and suggestions to the team to enhance code quality and maintainability along with clear and comprehensive documentation for backend services.

Software Engineer at Manhattan Associates, Jan 2020 - Sep 2021 ยท 1 y 8 mo, Bengaluru, Karnataka, India, Software Developer in R&D Team of Demand Forecasting and Replenishment Products. My responsibilities include understanding the functional requirements, preparing Technical Specification documents, and developing the new features for the current and future releases. Also supporting the earlier releases and resolving customer-reported issues within SLA. Technologies which I have worked on: J2EE, Spring Framework, Hibernate, JSP, Oracle, JMS.

Software Engineer at Nissan Motor Corporation, Dec 2018 - Jan 2020 ยท 1 y 1 mo, Trivandrum, Kerala, India, * Successfully developed and implemented a Voice-based Command Recognition engine using Python and Machine Learning, which increased the number of cars that undergo the final inspection process. * As a full-stack developer, I have worked on developing new features based on the business requirement. * Developed new UI screens for the Outbound Logistics system for Nissan-Renault Alliance. * Developed the existing feature to adopt the new business requirements. * Developed new Rest-end points by using the Spring boot framework at Middleware. * Created the new database tables and corresponding Middleware classes and AngularJS Components as per the requirement. * Promoted the codebase to higher environments to get the signoffs from the business users.

Assistant System Engineer at Tata Consultancy Services, Jun 2017 - Nov 2018 ยท 1 yr 6 mos, Bengaluru, Karnataka, India, I joined TCS by clearing "TCS CodeVita 2016" and started my career and worked for JPMorgan Chase from TCS. Developed multiple procedures in PL/SQL for measuring the data-quality to filter out any outliers from the database. Individual contributor for a PoC to automate manual testing tasks of comparing the data-quality in Cognos BI reports and reduced a significant amount of QA turnaround time. I had a great learning experience in Professional Work-Culture under a Strong Agile Team. Member of DevOps Champions team to develop DevOps culture among the team members. Analyzing the Customer Requirements and formalizing into a working software system.

Education

Post Graduate Diploma in Business Management, Information Technology & Systems Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology (B.Tech.), Computer Software Engineering, NRI University, AP

Public links

github: https://github.com/hemanthjamili

medium: https://medium.com/@hemanthjamili

leetcode: https://leetcode.com/hemanthjamili

hemanthjamili.github.io: https://hemanthjamili.github.io/profile/