Sai Sravya Gomatham
Frisco,TX
Summary
Senior Python Developer with over 6 years of experience in data engineering, machine learning techniques and backend development. Expertise in building scalable data platforms and optimizing data pipelines. Proven ability to lead cross-functional teams and deliver innovative solutions that drive business outcomes.
Overview
9
9
years of professional experience
Work History
Senior Data Engineer
Toyota Financial Services
04.2023 - Current
- Spearheaded development and deployment of scalable data engineering frameworks, concentrating on enhancement of data pipelines and real-time event processing to satisfy business needs.
- As part of tools and frameworks team, architected and developed Data Vault solutions to ensure consistent, traceable, and compliant data processing, while creating Data Mart systems to improve data access and analytics.
- Developed an event-driven architecture that integrates SQS, Kafka, and API endpoints for real-time event streaming and processing, enabling seamless data flow across systems.
- Engineered robust systems within Snowflake for data ingestion, transformation, and validation, optimizing data acquisition, and processing workflows.
- Streamlined ETL pipelines using AWS, Kubernetes, PostgreSQL, and Airflow, ensuring improved data quality, scalability, and reliability across the platform.
- Worked closely with cross-functional teams to align technical solutions with evolving business needs, and ensure smooth system integrations across the organization.
- Monitored data pipelines, ensuring smooth execution of workflows, and proactively addressing performance issues and bottlenecks to maintain high operational standards.
- Managing production support team to address production issues for data engineering teams, promoting quick identification and resolution of critical production problems to limit downtime and enhance service reliability.
- Tools and technologies used: Snowflake, AWS (S3, EC2, Lambda), Kubernetes, PostgreSQL, Kafka, Fast API, Airflow, and GitHub.
ML Engineer
CitiBank
01.2022 - 03.2023
- Led the end-to-end development of machine learning pipelines and analytical tools to detect and report data discrepancies, ensuring accurate and timely insights.
- Designed and implemented automated reports and dashboards for real-time anomaly detection, utilizing statistical analysis and heat maps to highlight key data discrepancies.
- Developed and migrated complex data pipelines to Starburst using the JDBC API, optimizing performance, and ensuring seamless integration with multiple data sources.
- Applied machine learning techniques to large-scale datasets for predictive analytics, improving data accuracy, and enhancing decision-making processes.
- Managed Airflow scheduling to automate recurring data tasks and ensure smooth execution of workflows, improving operational efficiency.
- Utilized Python and Airflow for data pipeline orchestration and automation.
- Employed S3 for scalable data storage solutions. Managed MongoDB databases for efficient data retrieval and storage.
- Leveraged Starburst for enhanced data querying across multiple sources.
- Implemented on Jupyter notebook for interactive data analysis and visualization.
- Integrated Kafka to facilitate real-time data streaming.
- Applied best practices in utilizing tools to optimize workflow efficiency.
Associate Technical Engineer
PowerSchool
07.2020 - 04.2021
- Led the redesign and development of a comprehensive K-12 portal system using Python and Flask.
- Developed scalable APIs for student enrollment and grading, enhancing the performance and reliability of student data management.
- Applied Test-Driven Development (TDD) and conducted unit testing with PyTest to ensure the application's robustness.
- Deployed microservices on AWS Elastic Beanstalk, and integrated them into continuous delivery pipelines with Jenkins.
- Tools and technologies Used: Python, Flask, MySQL, AWS, Jenkins, and Beautiful Soup.
Python Developer Intern
Fanatical Infotech Pvt Ltd.
03.2020 - 08.2020
- Built a loan application admin portal using Flask and SQLAlchemy, creating RESTful APIs to manage data efficiently.
- Used Pandas and Matplotlib to analyze financial data and generate reports for decision-making. Implemented Redis Cache to speed up data retrieval during high-load situations.
- Tools and technologies used: Python, Flask, MySQL, Redis, Jupyter, and PyCharm.
Software Developer Intern
ExpertEase Software Pvt Ltd.
07.2019 - 01.2020
- Developed an AI-powered chatbot using NLTK and Chatterbot, incorporating machine learning algorithms to automate customer interactions.
- Created RESTful APIs to efficiently process and deliver data in the required formats. Utilized BeautifulSoup for web scraping to gather data for analysis and processing.
- Tools and technologies used: Python, Flask, MySQL, NLTK, BeautifulSoup, and PyTest.
Associate Analyst
Wipro Ltd.
09.2016 - 08.2018
- Specialized in data analytics and processing, utilizing Python libraries like Pandas, NumPy, and Scipy to drive data-driven decision-making.
- Developed and maintained Python APIs for seamless data integration with external systems.
- Achieved and recognized as 'Best Performer of the Year' in 2017 for delivering impactful, high-quality solutions.
- Tools and technologies Used: Python, MySQL, JavaScript, Google Maps API.
Education
Master Of Science - Advanced Data Analytics
University Of North Texas
Denton, TX12.2022
Master Of Technology - Machine Learning and Computing
K L University
05.2020
Bachelor Of Technology - Computer Science and Engineering
JNTU
05.2016
Skills
Programming and Development
- Languages: Python, SQL, JavaScript, HTML, and CSS
- Frameworks and Libraries: Flask, FastAPI, TensorFlow, Keras, Pandas, NumPy, Scikit-learn, Matplotlib
- Testing and Version Control: PyTest, Git, GitHub, GitLab
- IDE & Tools: PyCharm, Jupyter, Anaconda, Visual Studio Code
Data Engineering and Processing
- Data Storage & Databases: PostgreSQL, MongoDB, Snowflake
- Big Data and Streaming: Kafka, Data Lakes, and Data Warehousing
- ETL & Pipelines: ETL Pipelines, Airflow, Jenkins, Docker
- Data Architecture and Modeling: Data Vault, Regression, Classification, Clustering
Cloud and Infrastructure
- Cloud Services: AWS (EC2, Lambda, S3, etc), Kubernetes
- Containerization and Orchestration: Docker, Kubernetes
- Business Intelligence and Visualization
- BI Tools: Tableau, Google Data Studio
- Data Visualization: Matplotlib, Pandas
Machine Learning and AI
- ML & Deep Learning: Regression, Classification, Clustering, Deep Learning
- Libraries and Frameworks: TensorFlow, Keras, Scikit-learn
APIs and Integration
- API Development and Management: REST APIs, FastAPI, and Flask
Timeline
Senior Data Engineer
Toyota Financial Services
04.2023 - Current
ML Engineer
CitiBank
01.2022 - 03.2023
Associate Technical Engineer
PowerSchool
07.2020 - 04.2021
Python Developer Intern
Fanatical Infotech Pvt Ltd.
03.2020 - 08.2020
Software Developer Intern
ExpertEase Software Pvt Ltd.
07.2019 - 01.2020
Associate Analyst
Wipro Ltd.
09.2016 - 08.2018
Master Of Science - Advanced Data Analytics
University Of North Texas
Master Of Technology - Machine Learning and Computing
K L University
Bachelor Of Technology - Computer Science and Engineering
JNTU
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