
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
Django, Flask , FastAPI
MySQL, SQL, MongoDB ,PostgreSQL, SQLite
Cassandra
Apache Kafka, Apache Hadoop, Apache Spark,
IBM Db2, Cloudant
Apache Airflow, Bash
Apache Kafka
Google Looker Studio, IBM Cognos Analytics
GitHub, Git
AWS (EC2, Lambda, SQS, S3,Elastic Beanstalk, CodePipeline, CLI)
Linux , Windows
Power BI , Tableau
Graphql, Shopify
Requests, BeautifulSoup, html5lib, Scrapy, Selenium
Pandas, Numpy, matplotlib, pyspark
Web Scraping, Shell Script, ETL, ELT & Data Pipelines, Database Design, Professional Networking, Database Management, Data Warehousing
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