Tirumala Jalakam

Responsibilities:

• Backend API Enhancement: Enhanced and maintained Django & DRF-based APIs integrating with Black Duck for software composition analysis and security vulnerability tracking.
• Scalable Data Pipeline Optimization: Improved data processing efficiency in a Redis queue-based pipeline, ensuring scalable and reliable data flow for real-time security analysis.
• Script Development & Data Processing: Developed and optimized multiple Python scripts to automate Black Duck data extraction, transformation, and enrichment processes, improving maintainability and performance.
• Large Dataset Management: Implemented pagination, filtering, and structured data handling mechanisms to process large datasets (thousands of records per run) without performance degradation.
• Workflow Automation: Automated Jira ticket workflows using Groovy scripts, streamlining issue tracking, ticket reopening, and comment logging based on Black Duck data changes.
• Collaboration & System Optimization: Worked closely with cross-functional teams to optimize API performance and strengthen compliance monitoring processes through efficient integration strategies.

Responsibilities:

• Data Collection and Integration: Identified and extracted data necessary from the clients’ databases, as well as to collect such information and transform it appropriately for organizational and business purposes, if needed.
• ETL Pipeline Development: Also created and ensured the maintenance of enhanced ETL procedures to extract and transform data for various source systems and types of storage devices.
• Data Storage: Verified and sanitized the data and then further loaded the data to GCS buckets.
• CI/CD Pipeline Development: They have enacted a CI/CD procedure using Apache Airflow to sustain data conduits and to evaluate the Continuous Integration/Continuous Deployment Levels.
• Technology Utilization: Apache PySpark programming language was utilized for all computations and in addition, I used Python along with Pandas tools for the data cleaning and preparation process.

Responsibilities:

• Automation Development and Bug Resolution: Worked on developing and improving features. Developed automation and fixed bugs. resolved problems with automation scripts to improve their efficiency and dependability in accordance with the non-acute standards.
• Technical Expertise: Three is considerable technical proficiency in integration, maintenance and optimization in Python, Elasticsearch, Rest API, Git services across computations.
• Storage Array Testing: Usability tests on high end and low end storage arrays is doing tests and arriving at the measurements of each so as to ascertain the functionality standards of the kinds of the models.
• Automation Testing: Modified and integrated unit tests across numerous models of storage arrays, inclusively through many advocating automation scripts that were used to create an extensive range of tests.
• Debugging and Quality Assurance: Corrected some of the errors that were observed while performing the storage reliability tests in order to bring about a more reliable testing environment. Established a set of general QA automation and it was possible to make enhancements in order to improve quality and achieve the best performing cohort of the software.

Responsibilities:

• Cross-Departmental Collaboration: Worked effectively with members of the software development team and personnel from various departments to ensure cohesive project development and successful outcomes.
• Task Prioritization: Prioritized and managed tasks efficiently, ensuring completion in order of importance to meet project deadlines and objectives.