- Monitored critical systems and responded to escalations from support teams for production-impacting issues involving MySQL, NoSQL, distributed databases, code bugs, and AWS-based Linux infrastructure, leveraging tools like Splunk, and CloudWatch.- Coordinated with business, QA, and development teams to implement upgrades to core production databases, developing comprehensive test/DR plans, conducting root cause analysis, and prioritizing high-impact issues.- Designed and implemented a real-time data validation framework using Python, Pandas, and Airflow, increasing data accuracy for thousands of financial transactions daily by 40%.- Developed and maintained automation scripts and ETL pipelines in Python, Bash, and Perl, reducing manual intervention for data processing, ETL monitoring, and log aggregation, leading to a 60% improvement in team productivity.- Conducted in-depth data analysis using SQL, Python, Pandas, and Jupyter Notebooks, transforming complex data into actionable insights to resolve production issues and drive informed decision-making.

- Spearheaded problem management for cloud and on-premise IT infrastructure supporting the NYSE market in a 24/7/365 environment, resolving 20+ production impacting incidents a month for Linux servers, networks, applications, and APIs.- Crafted detailed incident reports for high quality information flow during high-impact incidents, keeping regulatory agencies, stakeholders, and the millions of daily NYSE users informed on potential market impact and ongoing mitigation efforts.- Led troubleshooting and resolution efforts for file handling issues with clients and regulatory organizations in services like Sterling B2B, AWS S3, and AWS RDS. - Identified and resolved critical issues, including memory leaks, hardware failures and performance bottlenecks, using Splunk and BigPanda monitoring tools.- Minimized operational interruptions by utilizing Bash and Python scripting skills to troubleshoot and resolve failed Jenkins deployments and daily batch processes.-Led the development, automation and testing of comprehensive disaster recovery (DR) procedures, ensuring rapid system restoration and minimizing downtime.

- Developed and implemented C# and .NET-based solutions for Jira tickets, directly contributing to a 40% reduction in average ticket resolution time and exceeding team delivery timelines.- Demonstrated expertise in branching, merging, and resolving conflicts within Git repositories to maintain a streamlined development workflow.- Automated repetitive test scenarios using tools such as Selenium and JUnit, significantly reducing manual testing.- Created dozens of pages of detailed documentation and runbooks with lead engineers using Confluence for internal teams to escalate and resolve common application issues.

- Provided Tier 1/2 support to 20+ support tickets daily by efficiently troubleshooting and resolving technical issues related to user accounts, hardware and connectivity.- Successfully conveyed complex technical information to diverse student and faculty using clear and concise language- Diagnosed and repaired hardware malfunctions, using tools like MemTest86+, Prime95, CrystalDiskInfo, and HDD Scan.- Built a Python web crawler using Beautiful Soup and Requests libraries to efficiently extract data from 50+ GSU websites-Automated import and cleaning of Splunk data via Python scripts leveraging Splunk API, enabling frequent, insightful analysis and proactive problem identification.-Generated insightful reports and presentations with Splunk, Excel and Tableau effectively communicating complex data findings to senior leadership.

- Optimized legacy Java code and SQL Database, resolving 40% of backlogged tickets.- Streamlined and improved code documentation, simplifying onboarding for new team members- Developed Python and API-driven automation scripts to orchestrate complex tasks, enhancing efficiency and integration times across systems.- Automated repetitive tasks using Python (Pandas, NumPy, Selenium) and integrated scripts with Jenkins.

- Utilized UI skills to create a soft prototype mockup of the app using Figma and Adobe Suite.- Employed analytical and data visualization abilities to conduct market analysis leading to an actionable a report showing areas where the application could perform well in and areas in which it was lacking using Tableau- Utilized Mobile development skills to create a interactive application coded in Java

Taught various subjects, such as Precalculus, AP computer science, and AP computer science principles, also helped students prepare for their exams and projects.