Here's a snapshot of my professional journey:
Driven, Diligent, Adaptive, Impactful, Committed
Texas A&M Transportation Institute
[Data Engineer]
- Optimized geospatial unstructured database architecture for a road congestion visualization tool, achieving a 68% increase in storage efficiency and significant scalability improvements to manage growing data volumes
- Developed and optimized ETL pipelines using Azure Databricks, PySpark, and SQL to process and load gigabytes of data; securing a 30% reduction in processing time and improving data accuracy by 15%
- Led data modeling tasks to integrate current and historical data using Parquet and Blob Storage, boosting scalability and accessibility
ETL, SQL, Python, PySpark, Databricks, GIS, Microsoft Azure, Data Engineering and Analytics
High Performance Research Computing Center, Texas A&M University
[Graduate Assistant (Research)]
- Developed analytical dashboards, benefiting 2000+ researchers by enhancing customer service and resolving technical issues related to supercomputing clusters through the Linux command line.
- Optimized cluster workloads with strategic job scheduling and interactive apps (Jupyter Notebook, Slurm), resulting in significant resource efficiency gains.
- Streamlined over 40 short course workflows using automation tools (Jira, Excel, GitHub), reducing preparation time by 30%.
- Conducted instructional sessions on Data Management Practices, Linux, Slurm, and Jupyter Notebook.
- Orchestrated and managed diverse research workshops, overseeing budget formulation, conducting spending analysis, and ensuring detail-oriented coordination for highly successful events with 50+ attendees.
Achievement:
- Received tuition support from the department as a recognition of my work.
Python, JavaScript, Data PreProcessing, Workflow Automation with Jira and Excel, Workshop Coordination and Management, Mentorship and Guidance, Analytics, User Interactions, Git, Power BI
Tata Consultancy Services
[Systems Engineer]
- Worked as a Data Engineer in a client-facing role for a top-tier global European Banking Client.
- Led E2E migration of on-premise transactional workloads to Cisco UCS (cloud platform) using ETL tools (SQL, SSIS, SSRS), managing access controls, application refactoring, enhancing system uptime, and delivering a substantial 40% cost reduction.
- Spearheaded a collaborative effort with Subject Matter Experts (SMEs), and cross-functional teams to seamlessly execute data migration from NAS shares while formulating architectural plans for future storage and analytical solutions, achieving a notable 70% increase in network bandwidth.
- Facilitated Agile ceremonies, overseeing the execution of robust CI/CD pipelines and product strategy in Azure DevOps, integrating a successful Azure Data Lakes proof of concept (POC).
- Created Tableau dashboards showcasing KPIs from complex data, generating actionable reports, identifying trends and anomalies, empowering leaders, clients, and non-technical stakeholders for data-driven decision-making.
- Implemented a disaster recovery system, reducing downtime by 50% to provide 24/7 availability of critical applications.
- Applied problem-solving to analyze complex technical issues during migration, ensuring prompt time-critical resolutions.
Achievements:
- Secured a position in the TCS Digital profile, earning a rapid promotion to Systems Engineer, bypassing two intermediate levels.
- Received the Best Team Player award for exceptional contributions during NAS migration demonstrating collaboration skills.
- Recognized with a client-side incentive for consistently delivering high-quality work, further highlighting excellence in client service.
Cloud Computing (Cisco UCS, Microsoft Azure), ETL Tools (SSIS, SSRS, ADF), SQL, Python, Shell Scripting, CI/CD (Jenkins, Azure DevOps), Tableau Visualization, Critical Thinking, Stakeholder Management, Microsoft SQL Server
Indian Institute of Technology (IIT), Bombay
[Research Intern]
- Built a complex ETL pipeline for ingesting geospatial data into PostgreSQL database using R, SQL, QGIS, and GeoServer configuration to store data, improving the data accessibility and research efficiency by 30%
- Presented insights from customer surveys to the product team, leading to the development of a highly requested feature for driving spatial analysis and visualization in urban planning projects, fostering more informed decision-making
ETL, Python, Django, QGIS, JavaScript, Wagtail CMS, Geographic Information Systems (GIS), GeoServer, Leaflet (JavaScript)