Summary
Overview
Work History
Education
Skills
STRENGHTS
Timeline
Generic

Prajwal S. Patole

Summary

  • With over 2.6+ years of hands-on experience in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform.
  • Proficient in SQL, PySpark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, with a strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
  • Skilled in leveraging Azure services to optimize data pipelines, ensuring data quality, and facilitating data-driven decision-making for businesses.
  • Skilled in problem-solving and collaborating with cross-functional teams to deliver impactful business intelligence solutions.
  • Seeking to leverage technical expertise and hands-on experience in a challenging, growth-oriented role.

Overview

3
3
years of professional experience

Work History

Azure Data Engineer

TATA CONSULTANCY SERVICES
10.2022 - Current
  • Engineered Azure-based data pipelines, ensuring effective ingestion, transformation, and loading of data.
  • Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse.
  • Integrated various sources into Azure Data Storage services through orchestrated Data Factory flows.
  • Utilized Triggers for job automation and secured credentials management via Key Vaults.
  • Executed Spark-based data transformations in Azure Databricks for efficient, large-scale data processing.
  • Partnered with multidisciplinary teams to define requirements and refine business logic for transformations.
  • Collaborated with cross-functional teams to gather requirements and translate business needs into technical specifications for data solutions.

Education

Bachelor of Engineering - Mechanical Engineering

Savitribai Phule Pune University (SPPU)
01.2019

Diploma in Mechanical Engineering -

MSBTE
01.2016

S.S.C -

Maharashtra Board Solutions
01.2013

Skills

  • SQL
  • Apache Spark
  • Python
  • PySpark
  • Azure Data Lake Gen 2
  • Azure Data Factory
  • Azure Databricks
  • Data modeling
  • Data warehousing
  • Key Vaults
  • Data Transformations
  • ETL processes
  • GIT

STRENGHTS

  • Adaptability and flexibility: The flexibility to adapt to changing situations and environments
  • Continuous learning and self-development: I keep myself updated on the new technologies, and concepts coming to the market
  • Time management: Efficiently manage time, and prioritize tasks to meet deadlines

Timeline

Azure Data Engineer

TATA CONSULTANCY SERVICES
10.2022 - Current

Bachelor of Engineering - Mechanical Engineering

Savitribai Phule Pune University (SPPU)

Diploma in Mechanical Engineering -

MSBTE

S.S.C -

Maharashtra Board Solutions
Prajwal S. Patole