Web developer with 4+ years of experience in building scalable applications and automating business processes, now transitioning into data engineering and data science. Skilled in Python, SQL, and cloud platforms, with hands-on training in building ETL pipelines using Apache Spark, Airflow, and Kafka. Familiar with big data tools, data visualization (Looker Studio, Cognos), and foundational machine learning. Eager to apply a strong development background to data-driven problem solving.
Roles and Responsibilities
Project Undertaken :-
1. ERP System
Technologies used:- Python, Flask, MongoDB, AWS, OpenAI API, Shopify API, Graphql, Shopify.
websites :- https://vondiamonds.com, https://www.diamondchemistry.com,
https://dreamdiamonds.com.au
- Integrated ERP system with Shopify, enabling one-click product publishing from ERP to the online store .
- Developed APIs to sync product data (name, price, image, stock) in real- time between platforms .
- Built data import/export functionality with CSV validation to maintain data consistency.
- Ensured robust error handling and logging for all sync operations.
2. Diamond Feed Automation
Technologies: Python, Django, Pandas, NumPy, MySQL, Shopify API, FTP.
website :- https://vondiamonds.com
-Developed a Django-based backend service to automate diamond product management for the Von Diamonds website.
-Configured a scheduled process to retrieve diamond inventory files from an FTP server every 5 minutes.
-Parsed and imported product data into a MySQL database, including validations for format, completeness, and business rules.
-Integrated with the Shopify API to automate product actions: publish, update, draft, or delete based on data changes.
-Ensured real-time synchronization between the FTP source and Shopify storefront, reducing manual overhead and errors.
-Built robust logging and exception handling for smooth execution and traceability of each sync cycle.
Project Undertaken :-
MIBL Policy Extraction
Technologies: Python, Regex, Invoice2Data, Tabula, MySQL, Putty,
Jenkins,Numpy, Pandas, FedEx API, UPS API, Excel Automation.
-Automated extraction of insurance policy data from PDFs across multiple vendors.
-Validated and cleaned extracted data using custom rules to ensure accuracy.
-Streamlined the process and reduced manual effort significantly.
Organized outputs into structured Excel sheets for client reporting
Projects Undertaken :-
Matrimony Mali
Technologies: Python,Django, Mysql, pythonanywhere, Filezilla.
Project Undertaken :-
Shopingllyx
Technologies: Python,Django, Flask, HTML, CSS, JavaScript,Shopify.
Python
DATA Engineering Project :
Project: Processing Sensor Data from HMP Dataset with Apache Spark & IBM Cloud
Web scraping:
Project: Scraping and Structuring Global Bank Market Cap Data from Wikipedia