About Me
Highly motivated engineering graduate with strong programming and problem-solving skills. Holds a Bachelor's degree in Electrical and Electronics Engineering, showcasing a passion for innovation. Effective communicator with excellent collaboration abilities. Results-driven and eager to contribute to impactful projects. I am currently freelancing for a client to develop expertise and explore the Azure environment.
Education Background
WORK EXPERIENCE
Freelance Data Engineer
October 2023 – June 2024
Key Responsibilities and Achievements:
Designed and implemented robust data pipelines integrating diverse sources like on- premises database(Protex), cloud database(SAP HANA, Shopify) and through API.
Configured API-based extraction from Shopify and Google Analytics using Azure DataFactory (ADF) and Azure Functions.
Ensured secure credential management through Azure Key Vault and Azure Functions, enhancing authentication and data extraction processes.
Centralized data storage in Azure Data Lake Storage Gen 2, optimizing data accessibility and management.
Developed and optimized data transformation scripts using PySpark within Azure Databricks, enhancing processing performance and scalability.
Loaded curated data into data warehouse to facilitate reporting and analytics capabilities.
Monitored and debugged pipelines using Azure Data Factory, ensuring smooth operation and performance optimization.
Coordinated streamlined data extraction, designed integration datasets, managed credentials, and oversaw loading processes to meet project objectives effectively.
Accumulated valuable experience in steering end-to-end data engineering processes, specializing in the intricacies of cloud-based solutions. This experience has cultivated proficiency in navigating the complexities of data engineering, emphasizing a hands-on approach to problem-solving and solution implementation.
Qualification : Bachelor of Engineering [B.E]
College : SDM College Of Engineering and Technology[Electrical and Electronics]
Location : Dharwad
Duration : 2019-2023
Marks Obtained [CGPA] : 7.13
Qualification : Pre-University Course[PUC]
College : ICS Mahesh PU College
Location : Dharwad
Duration : 2017-2019
Marks obtained : 66.67%
Azure Data Factory (ADF)
Azure DataBricks (pyspark)
Azure Data Lake Storage Gen2(ADLS GEN2)
Azure Key Vault
Logic Apps
Function App
Services Used
Qualification : SSLC
School : St.Joseph's High School
location : Dharwad
Year of passing : 2017
Marks obtained : 92.48%
My Certifications
Microsoft Certified: Azure Data Engineer Associate
Forage: Data Analytics Consulting Virtual Internship
Python and SQL for DATA SCIENCE Certification
Project 1 - COVID-19 SPREADSHEET ANALYSIS USING PYTHON
The COVID-19 spreadsheet Analysis project is a Python-based initiative aimed at analyzing data related to the Covid-19 pandemic. Through the utilization of Python programming language, this project seeks to extract valuable insights from the available COVID-19 data in spreadsheets. Python's powerful libraries and data manipulation capabilities will be leveraged to process and visualize the data effectively. By conducting in-depth analysis, this project aims to identify patterns, trends, and correlations within the COVID-19 data, thereby contributing to a better understanding of the virus's impact. The Python programming language provides a flexible and efficient platform for conducting such analysis, enabling us to derive meaningful conclusions and make data-driven decisions in the fight against the pandemic.
Project 2 (Academic)- CLASSIFICATION AND DETECTION OF 3-PHASE FAULTS IN TRANSMISSION LINES
Our project, "Detection and Classification of 3-phase Faults in Transmission Lines," focuses on ensuring a reliable and efficient power supply by addressing critical aspects of fault detection and classification in transmission systems:
Importance: Efficiently managing three-phase faults is essential for maintaining uninterrupted power supply amidst potential disruptions caused by lightning strikes, equipment failures, or line insulation breakdowns.
Objectives: Our project aims to detect faults promptly and accurately classify them using advanced monitoring and diagnostic techniques.
Methods: Through in-depth analysis of fault patterns, electrical engineers apply sophisticated algorithms to identify fault types and pinpoint their locations in transmission lines.
Benefits: Real-time alerts and notifications provided by our fault detection system enable swift responses, minimizing downtime and facilitating timely repairs.
Impact: Continuous refinement of our fault detection and classification methods enhances the overall stability and reliability of transmission lines, benefiting both consumers and industries.
MY PROJECTS
Packages Used
Pandas
Numpy
Flask
Matplotlib
Project 3 (Academic)- WIRELESS POWER TRANSFER
The project focused on developing a wireless power transfer system utilizing coils, diodes, and a range of other critical components.
The core objective was to achieve efficient power transmission between a primary and secondary coil through the principles of inductive and magnetizing effects, enabling seamless energy transfer without the need for physical wires.
