PASINDU RANDIKA
Data Engineer
Profile
I am a data engineer with 1.5+ years of experience, focusing on developing, operationalizing monitoring, and optimizing reliable data infrastructures. Strong experience spanning across Data Engineering, Data Observability, Distributed Data Processing, Databases, Cloud, E-Commerce (Retail) and Agile Practices.
Languages
- English
- Sinhala
Experience
Data Engineer
Virtusa Colombo, Western Province, Sri Lanka Oct 2024 - Present • 3 months- Transformed data using Synapse Analytics and Databricks and created comprehensive Power BI report to support datadriven decision-making for various departments within the organization.
- Analyzed and debugged production-level Databricks Notebook defects, ensuring timely resolutions and improving system stability through efficient bug fixes.
- Developed and implemented a Power Automate workflow to streamline Row-Level Security (RLS) testing in Power BI dashboards, significantly reducing manual effort and cutting testing time from weeks to hours.
Intern - Data Engineer
Virtusa Colombo, Western Province, Sri Lanka Oct 2023 - Oct 2024 • 12 months- Transformed data using Synapse Analytics and Databricks and created comprehensive Power BI report to support datadriven decision-making for various departments within the organization.
- Contributed to optimizing ETL runtime , reducing 2hrs by eliminating redundant logic and implementing Databricks Notebook best practices for efficient processing.
- Contributed to successfully migrating Azure Consumption Logic Apps to Standard, adhering to best practices.
- Built efficient Power Apps with Dataverse to replace lookup files used in Data Transform notebooks, ensuring best practices and enhancing workflow efficiency.
- Worked in an Azure DevOps-based Agile environment, collaborating with teams to implement and refine data solutions, ensuring CI/CD.
Technical Skills
Languages
- Python
- Java
- SQL
- JavaScript
- C++
- Shell
Database Systems
- MS SQL Server
- Oracle Database
- PostgreSQL
- MySQL
- MongoDB
- Firebase
Data Platform Technologies
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage
- Azure Functions
- Azure Logic Apps
- Power BI
- Alteryx
- Apache Spark
- SSIS
- SSAS
- SSRS
Machine Learning
- Scikit-learn
- Tensorflow
- Keras
- NumPy
- Pandas
Web Technologies
- React
- Node
- Spring Boot
- Django
- WordPress
- Tailwind CSS
- Bootstrap
- HTML, CSS , PHP
Mobile Technologies
- Android Studio
- React Native
- KOTLIN
- KOTLIN
Cloud
- Azure
- Google Cloud
Other
- CI/CD (Azure DevOps , Vercel)
- Data Modeling
- ETL/ELT Process
- Version Control (Git, GitHub)
- Web Scraping (Selenium, RPA)
- REST APIs
- Docker
- DAX
- Unit and Integration Testing
- Agile Practices
Projects
Pharmacy Store Mobile Application (Mobile Application)
April 2023 - May 2023
This mobile application enables customers to search for and purchase pharmaceutical products while allowing pharmacists to manage their inventory and promote their products. The project includes several create functions such as User Registration, Product Search, Add to Cart, Checkout and Product Addition .
- KOTLIN
- Android Studio
- Firebase
Room Reservation and Selling System (Web Application)
April 2023 - Jul 2023
This Web Application allows customers to search for and book rooms, and sellers to manage their inventory and promote their rooms. The project includes several create functions such as Register, Book Now, Add rooms, seller Register, Blog create by seller, feedback create and Service create by seller, which allows customers and sellers to interact with the system.
- React
- Node
- Express
- MongoDB
- Antd
- Stripe API
AI Fashion Store (Machine Learning)
Feb 2024 - March 2024
This Fashion Store e-commerce web application, built with the MERN stack and Django, includes a feature that suggests clothing colors by analyzing skin color using the K-Nearest Neighbors (KNN) model, enhancing the shopping experience by offering personalized fashion recommendations.
- Node
- Express
- MongoDB
- Python
- Django
- React
Connect