Sep 2022 – Sep 2024 · 2 yrs · Bengaluru · Remote

• Provide software,architecture and development expertise leveraging deep knowledge of Apache Kafka, Confluent Platform, and distributed data systems. Design and build high-performance real-time ETL pipelines and streaming data processing systems using Managed Kafka and modern data platforms. Design event-driven architectures and streaming platforms for modern data applications and microservices ecosystems.
• Architect scalable data infrastructure and data engineering pipelines using Confluent Cloud, Confluent Platform, and Kafka ecosystem components.
• Work extensively with Kafka ecosystem tools including Kafka Connect, Kafka Streams, KSQLDB, and Schema Registry to enable real-time data movement and processing.
• Integrate Kafka with relational databases, NoSQL databases, analytical databases, caches, queues, and storage systems to support end-to-end data platforms.
• Develop backend and data processing applications primarily using Python and Python frameworks( I like Py ), with some experience in Java.
• Deploy and manage data platforms using Terraform, Ansible, and Kubernetes across platform, infrastructure.
• Build and deploy applications across multiple cloud providers including AWS and GCP, designing scalable deployment and architecture strategies.
• Implement multi-AZ and multi-region architectures ensuring high availability, disaster recovery, and fault-tolerant systems.
• Deploy and manage Apache Kafka clusters (Open Source and Managed) across cloud and Kubernetes environments.
• Lead migrations from Open Source Kafka to Managed Kafka platforms, improving scalability, reliability, and operational efficiency.
• Enable data governance, schema management, and lineage within streaming data architectures.
• Certified Confluent Certified Developer for Apache Kafka (CCDAK).
• Certified Confluent Certified Administrator for Apache Kafka (CCAAK).

Dec 2021 – Sep 2022 · 9 mos · Bengaluru · Remote

• AWS Certified Solutions Architect – Associate (SAA).
• Designed and implemented data engineering pipelines using AWS services such as Redshift, Glue, Lambda, and QuickSight.
• Helped individuals and organizations migrate and modernize applications and infrastructure to AWS Cloud.
• Troubleshot and resolved complex issues across AWS storage and data transfer services including S3, EFS, Glacier, Snowball, AWS Backup, DataSync, Storage Gateway, and SFTP Transfer.
• Built automation tools using Python and Boto3 SDK to streamline AWS resource management and reduce operational complexity.
• Recreated customer environments and scenarios to perform deep root cause analysis and advanced troubleshooting for production issues.
• Collaborated with global customers and engineering teams to diagnose, resolve, and prevent cloud infrastructure issues.
• Provided architectural guidance and recommended AWS best practices for building highly available, scalable, and resilient cloud applications.
• Assisted customers in designing secure, fault-tolerant, and scalable cloud architectures aligned with AWS Well-Architected principles.

Apr 2021 – Dec 2021 · 8 mos · Bengaluru

• Built Automations and Backend for Apps ( Tech Stack - Python Frameworks (Flask/FastAPI), NodeJS, ExpressJS, Databases - SQL, MongoDB, Docker ). Built the backend of a code runtime environment for writing, sharing and deploying code.

Jan 2021 – Apr 2021 · 3 mos · Bengaluru

• Built the backend of an operations tool for case handling, escalation management, leave and event management. Python Backend - FastAPI, MongoDB.
• Cisco Devnet Associate Certified.
• CCNA(Cisco Certified Network Associate) Certified

Nov 2019 – Jan 2020 · 2 mos · Hyderabad Area, India

• Data Science & ML/AI Team.
• Worked for a client (leading marketing technology company) to build a platform that focuses on workflow, performance analytics, client reporting, and data. The project aims at finding insights that benefit customers while investing in advertisements. These insights can be further used by a customer to predict the KPIs (Impression and click counts) and tell about the features which can positively impact the advertisement posted by customers on various channels. Additionally, gave sessions, mentored other interns, built POCs on Computer Vision.

May 2019 – Jun 2019 · 1 mo · Hyderabad Area, India

• Contributed to 2 projects - to predict sales of superstores and give them insights for increasing their sales and an effective business model & also prediction of alcohol consumption in India on the basis of Unemployment and taxes. Used Python, EDA, sklearn, numpy,pandas,matplotlib,seaborn, Exploratory Data Analysis,Machine Learning)