I am an experienced Python Developer with over 4.5 years of expertise in designing and maintaining high-performance data pipelines, microservices, and ETL workflows. I specialize in scalable and secure solutions using Python, SQL, PySpark, and cloud technologies like GCP and Azure. I’ve worked extensively with real-time data streaming and big data platforms, always focused on system resiliency and performance. I enjoy collaborating with teams in Agile environments and mentoring junior developers to help them grow their skills. My background includes working with large financial and analytics clients, migrating on-premise systems to cloud-native architectures, and driving improvements in data quality and automation. I'm passionate about efficient, clean code and staying up-to-date with the latest technologies in data engineering and cloud computing.…

Vamsi Kintali

I am an experienced Python Developer with over 4.5 years of expertise in designing and maintaining high-performance data pipelines, microservices, and ETL workflows. I specialize in scalable and secure solutions using Python, SQL, PySpark, and cloud technologies like GCP and Azure. I’ve worked extensively with real-time data streaming and big data platforms, always focused on system resiliency and performance. I enjoy collaborating with teams in Agile environments and mentoring junior developers to help them grow their skills. My background includes working with large financial and analytics clients, migrating on-premise systems to cloud-native architectures, and driving improvements in data quality and automation. I'm passionate about efficient, clean code and staying up-to-date with the latest technologies in data engineering and cloud computing.…

Available to hire

I am an experienced Python Developer with over 4.5 years of expertise in designing and maintaining high-performance data pipelines, microservices, and ETL workflows. I specialize in scalable and secure solutions using Python, SQL, PySpark, and cloud technologies like GCP and Azure. I’ve worked extensively with real-time data streaming and big data platforms, always focused on system resiliency and performance.

I enjoy collaborating with teams in Agile environments and mentoring junior developers to help them grow their skills. My background includes working with large financial and analytics clients, migrating on-premise systems to cloud-native architectures, and driving improvements in data quality and automation. I’m passionate about efficient, clean code and staying up-to-date with the latest technologies in data engineering and cloud computing.

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Experience Level

Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Python Developer at BOA
April 1, 2024 - Present
Developed high-throughput, real-time data ingestion pipelines using PySpark and Apache Flink, processing streaming data from Kafka topics to downstream storage in Hive and Couchbase. Designed FastAPI-based Python microservices with Redis integration for low-latency analytics APIs. Implemented anomaly detection and data validation. Orchestrated batch and streaming jobs with Apache Airflow on GCP. Utilized serverless data transformations with BigQuery and Cloud Functions. Built custom monitoring and alerting integrated with Splunk. Migrated on-prem Hadoop to GCP, reengineering Python workflows to be cloud-native and scalable. Developed CI/CD pipelines and wrote automated PyTest tests. Mentored junior developers on Python and distributed computing principles.
Python Developer at AIG
March 31, 2024 - July 14, 2025
Engineered scalable cloud-native microservices using Flask and Azure Functions for financial analytics. Designed modular Python pipeline components for data ingestion, transformation, and loading. Built robust ETL pipelines with Airflow, orchestrating workflows with retries and dependencies. Developed metadata-driven pipelines for schema management. Automated data cleansing and validation using Pandas before loading into PostgreSQL. Abstracted DB interactions with SQLAlchemy ORM. Integrated third-party APIs securely with Python requests. Optimized pipeline performance and created audit logs and alerts. Deployed pipelines in Docker containers and automated scheduling on Linux cron. Achieved over 90% test coverage with PyTest and worked collaboratively in Agile sprints. Participated in code reviews and CI/CD integration.
Python SQL Developer at Accenture
December 31, 2021 - July 14, 2025
Developed and maintained Python ETL scripts managing data flows between systems. Created reusable Python modules for ingestion and transformation of structured and semi-structured data. Wrote and optimized SQL queries for Oracle and MySQL, including stored procedures and triggers for business logic enforcement. Built RESTful APIs with Flask for system integrations. Automated business reporting using Python and SQL, reducing manual effort by 60%. Performed data analysis and transformation with Pandas and NumPy for BI dashboards. Tuned SQL query performance with indexing and execution plan analysis. Applied robust error handling and logging. Scheduled and monitored batch jobs with cron. Managed version control with Git and engaged in Agile development rituals. Ensured data integrity with validation scripts and parameterized queries. Documented pipelines and workflows for maintenance.

Education

Master of Science at University of North Texas
January 1, 2022 - December 31, 2023
Bachelor of Technology at GITAM University
August 1, 2017 - July 31, 2021

Qualifications

Python for Everybody – Coursera
January 11, 2030 - July 14, 2025
SQL for Data Science – Coursera
January 11, 2030 - July 14, 2025
Hadoop Platform and Application Framework – Coursera
January 11, 2030 - July 14, 2025
Machine Learning Algorithms: Supervised Learning Tip to Tail – Coursera
January 11, 2030 - July 14, 2025

Industry Experience

Financial Services, Software & Internet, Professional Services