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Abhishek Bhatkar

Senior Backend Engineer | Java, Spring Boot, Snowflake, Azure, Kubernetes, Kafka | Healthcare Platforms

Bengaluru

6+ years of work experience

athenahealth
Aug 20233 yrs 1 moPresent

Bengaluru, Karnataka, India

• Led production microservices and data workflows using Java 17, Spring Boot, Kafka, SQL Server/T-SQL, Snowflake, Azure Cosmos DB, Docker, Kubernetes, Helm, Jenkins, and Azure Pipelines. • Led adoption of an AI-assisted SDLC using spec-driven development, OpenAI Codex, Claude Code, project knowledge bases, agent- compatible codebases, and code-specific skills. • Created LLM-Wiki-style project knowledge bases and GPT bots using context engineering; implemented guardrails, human-in-the-loop workflows, and MCP integrations. • Built an automated AI code-review tool supporting review guardrails and human-in-the-loop engineering workflows. • Designed and supported event-driven Java microservices using Kafka, REST APIs, Kubernetes, Azure services, and CI/CD pipelines, with integrations across AWS services and Prometheus-based monitoring. • Built and maintained cross-platform data pipelines from SQL Server to Snowflake to Azure Cosmos DB using Azure Blob/Table Storage. • Added streaming mode to a large Snowflake processing workflow, reducing runtime from ~14 hours to ~30 minutes. • Refactored high-volume synchronization logic using streaming reads, shard-by-shard keyset pagination, memory guardrails, JVM heap settings, and Kubernetes resource tuning. • Added dynamic SQL Server shard routing, profile-driven query loading, pre-checks, Prometheus metrics, and improved record-level error logging for Kubernetes workloads. • Partnered with product managers, mentored junior developers, and reviewed code for maintainability and production readiness. • Investigated production issues across application code, SQL queries, cloud resources, generated artifacts, and downstream consumers; improved data correctness and regression confidence with focused proof cases, JUnit, and Mockito. • Supported cloud-backed workflows across Azure and AWS service integrations, including S3, Lambda, and EKS.
athenahealth
Nov 20211 yr 10 mosAug 2023

Bengaluru, Karnataka, India

• Designed and developed Java 8/Spring Boot REST APIs and service integration workflows across APIs, shared libraries, SQL/T-SQL scripts, Maven builds, and release branches. • Refactored frontend and backend code, remediated Checkmarx findings, reduced cross-site scripting risk by 90%, upgraded vulnerable dependencies, and improved maintainability across legacy Java and JavaScript code paths. • Maintained shared libraries, service dependencies, version updates, and cross-service compatibility across a large healthcare platform ecosystem. • Developed JavaScript and jQuery components for data-heavy production workflows and supported Jest/integration testing across service boundaries.
athenahealth
Mar 20201 yr 9 mosNov 2021

Bengaluru, Karnataka, India

• Developed and maintained JavaScript, Play Framework, Java 8, Spring Boot, and REST API web applications. • Improved system performance and availability by 50%+ through optimization and reliability-focused changes. • Worked across requirement gathering, implementation, testing, bug fixing, and Agile delivery with product and engineering stakeholders.

Abhishek’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
opencode
opencode

Education

Centre for Development of Advanced Computing (C-DAC)

Post Graduate Diploma in Advanced Computing(PG-DAC)

Centre for Development of Advanced Computing (C-DAC)

20191 yr2020
Finolex Academy of Management & Technology

Bachelor of Engineering (BE), Electronics and Telecommunications Engineering

Finolex Academy of Management & Technology

20154 yrs2019

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Headline

Senior Backend Engineer | Java, Spring Boot, Snowflake, Azure, Kubernetes, Kafka | Healthcare Platforms

About

I am a Senior Member of Technical Staff at athenahealth with 6+ years building production systems using Java, Spring Boot, SQL, Kubernetes, Snowflake, Azure Cosmos DB, Azure, and REST APIs. Strong in event-driven systems, cloud data pipelines, distributed systems, performance optimization, production debugging, security remediation, and AI developer tooling. My strongest work is at the intersection of Java/Spring backend engineering, SQL-heavy data systems, cloud platforms, and production debugging. I have built and maintained services and pipelines using Java 8/17, Spring Boot, SQL Server, Snowflake, Azure Cosmos DB, Azure storage, Docker, Kubernetes, Jenkins, and Azure Pipelines. Recent work includes optimizing large Snowflake processing workflows, reducing a major processing job from roughly 14 hours to roughly 30 minutes; building SQL Server to Snowflake to Cosmos DB data movement; improving high-volume sync workflows with streaming reads and keyset pagination; adding memory guardrails and Kubernetes resource tuning; and improving observability through metrics and record-level error logging. I also have deep healthcare domain experience across clinical quality reporting, FHIR, CCDA, QRDA, QDM, CQL, MIPS, MVP, PI, IA, and quality measure workflows. I have worked on regulatory reporting updates, QRDA compliance, quality scoring, dashboard workflows, and clinical-data debugging automation. Outside day-to-day product work, I focus on mature developer tooling and engineering-system projects. Public work includes a Zed workspace snapshot CLI for repeatable local workflows, a TypeScript VS Code extension for navigating code comments during review and cleanup, a Java logging library focused on reusable API design, and Rust rendering-engine experiments that show systems-level learning beyond backend application work.

Location

Bengaluru

AI stack

antigravity

claude code

codex

opencode

Work experience

Senior Member of Technical Staff at athenahealth, Aug 2023 - Present · 3 yrs 1 mo, Bengaluru, Karnataka, India, • Led production microservices and data workflows using Java 17, Spring Boot, Kafka, SQL Server/T-SQL, Snowflake, Azure Cosmos DB, Docker, Kubernetes, Helm, Jenkins, and Azure Pipelines. • Led adoption of an AI-assisted SDLC using spec-driven development, OpenAI Codex, Claude Code, project knowledge bases, agent- compatible codebases, and code-specific skills. • Created LLM-Wiki-style project knowledge bases and GPT bots using context engineering; implemented guardrails, human-in-the-loop workflows, and MCP integrations. • Built an automated AI code-review tool supporting review guardrails and human-in-the-loop engineering workflows. • Designed and supported event-driven Java microservices using Kafka, REST APIs, Kubernetes, Azure services, and CI/CD pipelines, with integrations across AWS services and Prometheus-based monitoring. • Built and maintained cross-platform data pipelines from SQL Server to Snowflake to Azure Cosmos DB using Azure Blob/Table Storage. • Added streaming mode to a large Snowflake processing workflow, reducing runtime from ~14 hours to ~30 minutes. • Refactored high-volume synchronization logic using streaming reads, shard-by-shard keyset pagination, memory guardrails, JVM heap settings, and Kubernetes resource tuning. • Added dynamic SQL Server shard routing, profile-driven query loading, pre-checks, Prometheus metrics, and improved record-level error logging for Kubernetes workloads. • Partnered with product managers, mentored junior developers, and reviewed code for maintainability and production readiness. • Investigated production issues across application code, SQL queries, cloud resources, generated artifacts, and downstream consumers; improved data correctness and regression confidence with focused proof cases, JUnit, and Mockito. • Supported cloud-backed workflows across Azure and AWS service integrations, including S3, Lambda, and EKS.

Member Of Technical Staff at athenahealth, Nov 2021 - Aug 2023 · 1 yr 10 mos, Bengaluru, Karnataka, India, • Designed and developed Java 8/Spring Boot REST APIs and service integration workflows across APIs, shared libraries, SQL/T-SQL scripts, Maven builds, and release branches. • Refactored frontend and backend code, remediated Checkmarx findings, reduced cross-site scripting risk by 90%, upgraded vulnerable dependencies, and improved maintainability across legacy Java and JavaScript code paths. • Maintained shared libraries, service dependencies, version updates, and cross-service compatibility across a large healthcare platform ecosystem. • Developed JavaScript and jQuery components for data-heavy production workflows and supported Jest/integration testing across service boundaries.

Associate Member Of Technical Staff at athenahealth, Mar 2020 - Nov 2021 · 1 yr 9 mos, Bengaluru, Karnataka, India, • Developed and maintained JavaScript, Play Framework, Java 8, Spring Boot, and REST API web applications. • Improved system performance and availability by 50%+ through optimization and reliability-focused changes. • Worked across requirement gathering, implementation, testing, bug fixing, and Agile delivery with product and engineering stakeholders.

Education

Post Graduate Diploma in Advanced Computing(PG-DAC), Centre for Development of Advanced Computing (C-DAC)

Bachelor of Engineering (BE), Electronics and Telecommunications Engineering, Finolex Academy of Management & Technology

Public links

github: https://github.com/abhishek-bhatkar