Data Architect & Innovation Engineer
I bridge technology and business needs through innovative data solutions. My engineering background gives me a unique approach to problem-solving that delivers measurable results and drives strategic decision-making.
Let's ConnectGet to know my background and approach
I'm a Data Engineer with 4+ years in Information Technology, specializing in Data Warehousing and Cloud Computing. My journey began with a Bachelor's in Mechanical Engineering, which gave me a unique perspective on problem-solving that I apply to data engineering challenges today.
I approach each project with meticulous attention to detail, viewing past mistakes as valuable checkpoints for future success. This mindset allows me to develop innovative solutions that bridge technology and business needs while optimizing performance and reducing costs.
Beyond my technical expertise, I see life as an opportunity to give back and make a positive impact. I approach challenges not as problems but as opportunities for growth and innovation.
Technical expertise and competencies
My professional journey
Developed and optimized Databricks ETL pipelines using Spark DataFrames, Spark SQL, and PySpark. Built a Financial Data Hub consolidating data from multiple sources, resulting in 20% reduction in storage costs and 30% reduction in compute costs.
Designed and developed data ingestion pipelines using Azure and Azure Data Lake. Implemented Medallion Architecture in Databricks, achieving 40% reduction in cloud compute costs by optimizing legacy Spark code.
Analyzed 25GB of healthcare datasets using Python to identify improvement opportunities. Performed Exploratory Data Analysis to uncover trends among patients and their respective diseases, resulting in 17% improvement in operational efficiency.
Reduced plant erection downtime by 30% through supply chain and workflow optimization. Created a central repository in SharePoint for frequently reused design drawings, reducing manual effort by 20%.
Highlighting some of my notable work
Built a comprehensive financial data hub by consolidating data from multiple sources into a single source of truth. Implemented parallelism and optimization techniques, resulting in significant cost savings.
Developed an interactive Power BI dashboard to visualize healthcare trends by city, area, age, gender, race, and occupation. The insights led to a 17% improvement in operational efficiency for ER departments.
Automated the advanced shipment notice process with proper permissions, streamlining information flow between vendors and the company. Reduced processing time and improved accuracy of inventory management.
Standardized design calculations for water treatment plants using Excel formulas. Created reusable templates that significantly reduced design time and improved consistency across projects.
Designed and 3D printed a custom phone holder to solve a personal challenge with ergonomics while using the phone in bed. Won 3rd prize in an intramural competition for practical innovation.
Led a team to design and fabricate a custom GoKart for a tech fest competition. Applied engineering principles from mechanical background to create an efficient, high-performance design.
The principles that guide my work and life
"I see life as a way to pay back the opportunities given to me. I don't see challenges as problems, but as opportunities for growth and innovation."
Coming from a humble background, I remain grounded in my roots and approach every situation with gratitude and purpose. I believe in setting small, achievable targets that build toward meaningful change. My technical skills are tools that enable me to solve real problems and create positive impact.
In my vision for an ideal society, I value equality, fairness, and the elimination of unnecessary comparison. I believe technology should be used to create a more equitable world where everyone has the opportunity to thrive. This philosophy guides both my professional work and personal projects.
Insights into my approach and thinking
I approach data problems by first understanding the broader business context. Before diving into technical solutions, I ask: What decisions will this data inform? What value will it create? My mechanical engineering background taught me to break complex problems into smaller, manageable components. I then apply a systematic approach - analyzing requirements, designing an efficient architecture, implementing with clean code practices, and continuously testing for improvement opportunities. Each project becomes a learning experience that informs future work.
My journey from mechanical engineering to data engineering wasn't a complete pivot - it was a natural evolution. The analytical thinking, problem-solving skills, and systems approach I developed in mechanical engineering directly translated to data architecture. My experience designing physical systems helped me visualize data flows and optimize performance in digital systems. Coming from a humble background also instilled in me a deep appreciation for efficiency and resource optimization, which reflects in how I design cost-effective data solutions.
I view mistakes as invaluable checkpoints rather than failures. Each error is an opportunity to refine my approach and establish a new baseline for future success. This philosophy came from my entrepreneurial experiments, where initial "failures" became the foundation for later innovations. In data engineering, I document every issue encountered, creating a personal knowledge base that prevents repeated errors. This meticulous attention to detail allows me to anticipate potential problems in new projects and design more resilient solutions from the start.
Data is more than just numbers and statistics - it's the lifeblood of modern business decision-making. I see data as a strategic asset that, when properly structured and analyzed, reveals insights that would otherwise remain hidden. My approach focuses on creating data ecosystems that not only store information efficiently but transform it into actionable intelligence. The most rewarding aspect of my work is seeing how the data pipelines I build enable businesses to make confident, informed decisions that drive tangible results.
I'm particularly excited about the convergence of AI and data engineering to create more intelligent, self-optimizing data systems. The potential for AI to automate not just data processing but data architecture decisions is fascinating. Beyond that, I'm passionate about democratizing data access across organizations - breaking down silos to create a single source of truth that empowers everyone from executives to front-line employees. I believe the future belongs to organizations that can make data-driven decision-making an integral part of their culture rather than just a technical capability.
Technical excellence without business alignment is merely an academic exercise. I've learned that the most elegant solution isn't always the most effective one. My approach is to first understand the business objectives, constraints, and timeline, then design solutions that deliver maximum value within those parameters. I believe in the 80/20 principle - identifying the critical components that will deliver most of the business value and focusing resources there. This pragmatic approach ensures my technical work translates directly to business impact, which is ultimately the true measure of success.
Let's discuss how we can work together
Feel free to reach out to me through any of these channels. I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.