Experience

3+years in
Data and Software Engineering

Education

Masters in Computer Science at
North Carolina State University

I am a Data and Software Engineer with over 3 years of full time experience building data pipelines and data acquisition solutions. I have contributed to building data products for clients the world over, in diverse applications such as energy-savings recommendations and carbon emissions reporting.

I consider myself to be a very curious, hardworking and dedicated individual who loves to solve problems and someone who never backs down from a challenge.

I believe we all stand on the shoulders of giants and all I have ever wanted was to be such a giant in my chosen field of work.

Currently I am pursuing my Masters in Computer Science at North Carolina State University and loving every minute of it.

Experience

Data Engineer II(2022-2023)

My team and I worked on designing and building a fully-automated, scalable and efficient data pipeline to calculate and report the carbon emissions of Sainsbury's, a top grocery chain in the UK.
I had the opportunity to design the architecture, setup and configure the cloud infrastructure, write SQL queries to move the data through the pipeline, create the algorithm to calculate emissions, as well as lead the Data Analysis and Visualization team.
Technologies: Snowflake, SQL, Terraform, AWS Services, CircleCI, Python and Tableau

Data Engineer I(2020-2022)

I got to work on building data products that acquired data from sensors and APIs and then used that data to build, train and deploy ML models that recommended energy saving optimizations to clients.
Later I was chosen to lead a team that worked on improving our existing data acquisition and processing algorithms by incorporating asynchronous processing and threading which exponentially increased our speeds.
We leveraged these new algorithms to create an ETL pipeline that processed tens of thousands of datapoints from an API every few mins with 0 data loss.
Technologies: Python, IoT protocols, Machine learning, SQL, Apache Kafka, Google Cloud Services

A collection of some of my