Turning complex data
into reliable systems.
Software engineer with 3+ years across data migration, implementation, and workflow automation, with a strong focus on Shell scripting. I design database structures, execute large-scale legacy-to-modern migrations, and safeguard data integrity, accuracy, and security throughout the transition lifecycle — using SQL, Control-M, and SAP to monitor pipelines and optimize end-to-end performance.
Hi, I'm Darshak.
I bring 3+ years of experience in data migration, implementation, and workflow automation, with a strong emphasis on Shell scripting to streamline complex processes. My work spans designing new database structures, executing large-scale migrations from legacy systems, and ensuring data integrity, accuracy, and security across the transition lifecycle.
I'm highly proficient in SQL, Control-M, and SAP, which I use to monitor data pipelines, diagnose system issues, and optimize end-to-end performance. With a strong analytical mindset, I identify process gaps, resolve data inconsistencies, and collaborate with cross-functional teams to deliver stable, data-driven solutions.
Currently completing a Master's in Data Science at Wichita State University.
Tools I work with daily
The core tools behind my data migration, automation, and analytics work.
Full breadth of my toolkit
A blend of engineering, data, and enterprise automation capabilities.
Programming & Scripting
Data & Analytics
Visualization & Reporting
Cloud, DevOps & Scheduling
Automation & Enterprise
Core Concepts
Where I've made an impact
Enterprise-scale engineering across migration, automation, and operations.
- Executed and monitored batch-driven data workflows using Control-M to support enterprise-scale processing.
- Developed and optimized Shell scripts to reduce batch latency and improve throughput.
- Configured job schedules, dependencies, and recovery procedures to ensure stable data flow.
- Analyzed batch performance metrics and resolved execution failures through root-cause analysis.
- Implemented client-specific data migration solutions aligned with technical and business requirements.
- Collaborated with cross-functional teams and documented workflows for long-term maintainability.
- Developed end-to-end Shell and Linux scripts for large-scale legacy-to-modern database migrations.
- Performed SQL-based source-to-target validation to ensure data accuracy and completeness.
- Automated recurring migration tasks, significantly reducing manual effort and operational risk.
- Identified and resolved data inconsistencies during migration verification phases.
- Utilized Java backend processes within Docker containers to validate transformation logic and maintain processing stability.
- Generated migration status, performance, and audit reports while ensuring data security, compliance, and access control.
- Built foundational expertise in enterprise application development tools and frameworks.
- Analyzed application and operational data to identify trends and performance indicators.
- Prepared analytical and status reports to support management decision-making.
- Supported project planning and execution through data-driven documentation.
- Managed Learning Management System (LMS) platforms and maintained operational data accuracy.
- Applied data modeling techniques to analyze learner engagement and performance metrics.
- Monitored budgets, tracked expenses, and prepared detailed financial reports.
- Supported senior management through accurate reporting and documentation using Microsoft Office 365.
Selected data work
Applied research and analytics projects spanning data cleaning, statistical analysis, and data storytelling.
Kansas Board of Regents Survey
Analyzed National Survey of College Graduates (NSCG) data to compare employment outcomes of community-college starters against state and university students.
- Evaluated wage levels, job types, and employment status to identify potential career or wage penalties across education pathways.
- Cleaned and harmonized multi-year NSCG datasets — resolving schema differences, handling nulls, and removing high-missing-rate variables.
- Filtered implausible values, winsorized salary data, and conducted EDA on salary distributions and inflation-adjusted trends.
- Performed statistical hypothesis testing and descriptive regression summaries to quantify group differences over six survey years.
Storytelling Case Study — Airbnb, NYC
Conducted comprehensive exploratory data analysis on New York City Airbnb listings and applied data storytelling to turn complex insights into clear, actionable narratives.
- Analyzed NYC Airbnb listing data to identify patterns, trends, and operational opportunities.
- Applied data storytelling techniques to translate complex insights into clear, actionable narratives.
- Developed two audience-specific presentations — one for data-analysis leadership, one for acquisitions, operations, and UX teams.
- Delivered strategic insights supporting data-driven decisions for NYC-focused business units.
Foundations & certifications
Wichita State University
Jan 2024 — Dec 2025Python · Machine Learning · EDA · SQL · Data Analysis · Model Deployment · AWS · Advanced Data Storage · Power BI
Lovely Professional University
Aug 2017 — Aug 2021Foundation in electronics, systems, and analytical problem-solving.
Microsoft Power BI
Data Ingestion with Python
Learning Data Visualization
Robotic Process Automation
Cybersecurity Compliance & Frameworks
Let's build something data-driven.
Open to Data Science, Data Engineering, and Analytics roles. I'd love to hear about your team and the problems you're solving.