Summary
Overview
Work History
Education
Skills
Accomplishments
Projects
Timeline
Generic

MD SHAHID

Bengaluru

Summary

Results-driven Data Engineer with 1.5 years of experience in building scalable data pipelines, data modeling, and warehousing. Proficient in Python, SQL, C++, PySpark, and Azure tools including Synapse, Databricks, ADLS, and ADF. Skilled in data migration, pipeline design, and optimizing data solutions for valuable business insights. Detail-oriented, organized, and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.

Overview

1
1
year of professional experience

Work History

Software Engineer

Aarmec Technologies
09.2023 - Current
  • Used Azure Data Factory (ADF) to perform Incremental Loads from Azure SQL DB to Azure Synapse.
  • Extract Transform and Load data from Sources Systems to Azure Data Storage services using combination of Azure Data Factory, T-SQL, Spark SQL and U-SQL Azure Data Lake Analytics.
  • Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing data in In Azure Databricks.
  • Optimized Azure Data Factory (ADF) Pipelines with Various Partitioning Techniques to decrease budget of project to 20%
  • Performed Storage and Analytics Operations using Notebooks with Azure Databricks
  • Performed Storage and Analytics Operations using Azure Data Lake Analytics [ADLA]

Education

Bachelor of Engineering - Computer Science

Sir M Visvesvaraya Institute of Technology
Bengaluru, India
07-2023

Skills

  • Programming Languages

C, SQL, Python, Pyspark, JavaScript

  • Technical Stack
  • ADLS, ADF, Azure Synapse, Azure SQL, Databrick ,Data Pipeline Design, Data Modeling, Data Warehousing, Data Migration, GIT, MS SQL Server 2017

Accomplishments

  • Saved 20% of data engineering project budget
  • Won 1 best performance awards for the outstanding work executed on various projects

Projects

1. FreightLINK – Web Portal and FreightVISION Mobile App

Lane Axis is a platform to provide a network of professional Drivers, Carriers and Shippers through the FreightLINK – Web Portal and FreightVISION – Mobile app. The Drivers can use the Mobile app for accepting the loads, navigation for pickup and dropoff, messaging to the Carrier and Shipper on real-time basis. The Carrier and Shipper uses the Web portal to create the shipments and assign them to the Drivers. 


Timeline

Software Engineer

Aarmec Technologies
09.2023 - Current

Bachelor of Engineering - Computer Science

Sir M Visvesvaraya Institute of Technology
MD SHAHID