Bharath Gunapati

CEO

Hyderabad, Telangana, India13 yrs 9 mos experience

Highly Stable

Key Highlights

Designed an enterprise-grade batch and stream processing system.
Built a centralized platform for managing scheduled tasks.
Expert in Microservices and Apache Flink.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Enterprise Software and Data Processing.

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Skills

Core Skills

MicroservicesApache Flink

Other Skills

PostgresSpring MVCElastic Stack (ELK)Amazon Web Services (AWS)Code ReviewSoftware DevelopmentKibanaObject-Oriented Programming (OOP)GitApache KafkaCoaching & MentoringJavaData StructuresDistributed SystemsAgile Methodologies

About

Principal Engineer at Zeta with over three years of experience in developing enterprise-grade systems that prioritize high availability, scalability, and fault tolerance. Key contributions include the creation of the Enterprise Scheduler, a centralized platform for managing scheduled tasks across teams, and the design of an enterprise-wide batch and stream processing system.

Experience

13 yrs 9 mos

Total Experience

4 yrs 8 mos

Average Tenure

4 yrs 4 mos

Current Experience

Zeta

2 roles

Senior Principal Engineer

Promoted

May 2025 – Present · 1 yr · Hyderabad, Telangana, India · On-site

PostgresSpring MVCElastic Stack (ELK)MicroservicesAmazon Web Services (AWS)Code Review+54

Principal Engineer

Jan 2022 – May 2025 · 3 yrs 4 mos · Hyderabad, Telangana, India · On-site

Enterprise Scheduler
I built the Enterprise Scheduler, a centralized platform that streamlines and unifies the management of scheduled tasks across all teams with capabilities including:
Managing both one-time and recurring jobs, featuring pause/resume, automatic retries, manual triggers, and real-time execution history.
Engineered for high availability, scalability, and reliable execution, supporting enterprise-wide job scheduling needs.
Includes robust monitoring and actionable alerting to ensure job execution remains transparent, fault-tolerant, and auditable across the organization.
Enterprise Batch & Stream Processing System:
. Designed and implemented an enterprise-grade batch and stream processing system using Apache Flink.
Enabled processing of 200 million end-of-day (EOD) accounts in 35 minutes and generation of 40 million statements in just 5 minutes.
. Developed a custom HTTP sink connector with rate-limiting (AIMD algorithm) and retry capabilities, powering high-throughput processing scenarios.
. As part of the Enterprise Integration Platform team, designed and implemented pre- and post-processing workflows for file-based batch processing applications (including file transfer, decryption, checksum validation, encryption, summary file creation, and statistical analysis).

Apache FlinkKibana

Ftd

3 roles

Software Architect

Aug 2021 – Jan 2022 · 5 mos

Object-Oriented Programming (OOP)Microservices

Lead Software Engineer

Mar 2019 – Aug 2021 · 2 yrs 5 mos

. Migrated the Netflix conductor to MongoDB as primary DB.
. Developed a Neo4j based Fraud micro service to detect the fraud orders.
. Designed a plugin to log the record in Stream Sets as we don't have inbuilt logging plugin.
. Customized the Apache beam framework to connect to Mongo DB (native one has some issues).
. Performed various load tests and taken actions to optimize the OMS.
. Worked with devops on various occasions to improve the system on scalability & optimization aspects.
. Implemented a Mongo Stitch based alerting mechanism to alert the team via slack in case of errors.
. Created various Google Data studio dashboards based out of orders for analytics.

Object-Oriented Programming (OOP)Microservices

Senior Software Engineer

Sep 2016 – Mar 2019 · 2 yrs 6 mos

. Created REST based APIs for Page and Page Templates in FOL-PFOL admin website.
. Developed a POC for auto printing the orders that comes to florists without user actions.
. Trained teams to migrate to Spring Boot and Micro services.
. Migrated Tax legacy service to Micro service.
. Developed a POC for Order Management System using Micro Services Architecture with Netflix
conductor as a workflow engine
. Customized Netflix conductor to work on Google Cloud Platform with pubsub based architecture.
. Experimented with Cassandra as a primary DB for storing the orders.

Object-Oriented Programming (OOP)Microservices