Udaya Kumar

Product Manager

Coimbatore, Tamil Nadu, India5 yrs 9 mos experience

Most Likely To Switch

Key Highlights

5+ years in data engineering and pre-sales.
Expert in real-time data platforms and event-driven architecture.
Led 200+ customer engagements, driving significant revenue growth.

Stackforce AI infers this person is a Solutions Engineer specializing in SaaS and real-time data processing.

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Skills

Core Skills

Event-driven ArchitectureReal-time Data StreamingData EngineeringReal-time Data Processing

Other Skills

Apache KafkaConfluent CloudTechnical discoveryScalable architecturesPOCsDemosHands-on enablementCloud environmentsPython (Programming Language)SQLAWS KinesisAWS FirehosePythonPandasPySpark

About

I’m a Solutions Engineer with 5+ years of experience across data engineering and technical pre-sales, specializing in building and enabling real-time data platforms using Apache Kafka, Apache Flink, and Confluent Cloud. My journey started in backend and data engineering, where I built and scaled data pipelines and microservices. Today, I work at the intersection of technology and business, partnering with customers to design event-driven architectures and guide them from initial discovery to production-ready systems. In my current role, I collaborate closely with sales and customer teams to: • Drive technical discovery and shape real-time data use cases • Design scalable, low-latency streaming architectures • Deliver POCs, demos, and hands-on enablement • Help customers migrate from self-managed systems to managed platforms • Resolve complex challenges across streaming, cloud, and networking environments I’ve supported 200+ customer engagements and contributed to revenue growth by helping organizations successfully adopt event-driven architectures and modern data platforms. Beyond customer work, I enjoy sharing knowledge through workshops and technical sessions, helping developers and architects better understand streaming technologies and real-time system design. I’m particularly interested in: • Event-driven architecture • Distributed systems & real-time data processing • Data infrastructure and platform design Always open to learning, building, and solving complex data problems at scale.

Experience

5 yrs 9 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs 3 mos

Current Experience

Confluent

2 roles

Advisory Solutions Engineer

Feb 2026 – Present · 2 mos · Remote

Solutions Engineer

Jan 2024 – Present · 2 yrs 3 mos · Remote

As a Solutions Engineer at Confluent, I partner with SMB and Mid Market customers to design and adopt real-time data streaming platforms using Kafka and Confluent Cloud.
I work closely with Account Executives and customer stakeholders to drive technical discovery, validate use cases, and guide organizations from initial proof-of-concept to production-ready event-driven architectures.
Key Responsibilities & Impact:
1. Partner with sales teams to drive technical validation and influence deal outcomes, contributing to customer acquisition and expansion
2. Lead end-to-end engagements from discovery to production, designing scalable event-driven architectures for real-time data use cases
3. Deliver POCs, demos, and hands-on enablement to accelerate customer adoption of streaming platforms
4. Act as a trusted advisor to customers on real-time data strategy, helping reduce operational overhead and improve system scalability
5. Guide migrations from self-managed Kafka to Confluent Cloud, enabling faster time-to-production and simplified operations
6. Troubleshoot and resolve complex challenges across streaming, networking, and cloud environments (latency, scaling, connectivity, networking)
7. Conduct workshops and technical sessions for developers and architects to drive adoption of event-driven architectures and best practices

Apache KafkaConfluent CloudEvent-driven architectureReal-time data streamingTechnical discoveryScalable architectures+4

Rebid

SDE II

May 2023 – Jan 2024 · 8 mos · Bengaluru, Karnataka, India · Hybrid

Python (Programming Language)SQL

Anastrat

Back End Developer

Apr 2022 – Apr 2023 · 1 yr · Bengaluru, Karnataka, India

> Created data pipelines to fetch data from vendor APIs and stream it in real-time via AWS Kinesis and Firehose.
> Validated and cleaned a large dataset using Python and Pandas, ensuring data accuracy and consistency for further analysis.
> Processed large datasets with PySpark/Pandas to identify patterns and trends, and utilized AWS Cloud components such as S3 and EC2 instances to create a scalable and reliable infrastructure for data processing and analysis.
> Automated data pipelines using Airflow to move data from source systems to target databases, ensuring efficient processing and analysis.
> Stored and retrieved processed data for analysis using NoSQL (MongoDB) and PyMongo.
Developed and deployed Python code as AWS Lambda functions, with triggers, event sources, and environment variables.

AWS KinesisAWS FirehosePythonPandasPySparkAWS S3+6

Societe generale global solution centre

Software Engineer trainee

Jun 2020 – Apr 2022 · 1 yr 10 mos · Bengaluru, Karnataka, India

> As a Python Developer, I developed and maintained software using Python, writing code to solve complex problems and automated tests for code correctness and maintainability.
> As a Root Cause Analyst, I identified the root cause of software defects, debugged and fixed issues to prevent future recurrences.
> As a Technical Support, I assisted trading desks with technical issues, working with traders to understand their needs, researching and resolving issues, and communicating technical information clearly.
> Using SQL, I diagnosed data-related issues, troubleshooting problems with data integrity, access, and performance. I also analyzed large amounts of data to identify patterns and improve software systems.

Python (Programming Language)SQL