Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

Aditya Dabade

Pune

Summary

  • 2.5 years of experience as an Azure Data Engineer specializing in big data technologies and real-time data processing.
  • Proven track record of 95% success rate in data integration projects using Azure Data Factory and Azure Databricks.
  • Expertise in large-scale data processing with Apache Spark and PySpark, resulting in a 30% improvement in processing times.
  • Skilled in database management with MySQL and MongoDB, ensuring 99.9% uptime and data integrity.
  • Developed real-time data processing solutions with Kafka, achieving a 98% success rate.
  • Strong collaboration skills leading to a 20% increase in project delivery efficiency.
  • Certified in Microsoft Azure Data Engineer Associate and Power BI Analyst.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Azure Data Engineer

TCS
Pune
03.2022 - Current
  • Data Integration and ETL: Designed and implemented data pipelines using Azure Data Factory and Azure Databricks to automate the extraction, transformation, and loading (ETL) of data from various sources into Azure Data Lake and Azure Synapse, achieving a 95% success rate in data integration projects.
  • Big Data Processing: Utilized Apache Spark and PySpark for large-scale data processing and analytics, optimizing performance for complex data transformations and aggregations, resulting in a 30% improvement in processing times.
  • Database Management: Managed and maintained databases using MySQL and MongoDB, ensuring data integrity and security, with a 99.9% uptime.
  • Real-time Data Processing: Developed and maintained real-time data processing solutions using Kafka, enhancing the ability to process and analyze streaming data, with a 98% success rate in data processing tasks.
  • Collaboration: Worked collaboratively with cross-functional teams to gather requirements, design data models, and deliver data solutions that meet business needs, contributing to a 20% increase in project delivery efficiency.
  • Performance Optimization: Conducted performance tuning and optimization of data pipelines, ensuring efficient data flow and reducing processing times by 25%.

Education

BE - Electrical Electronics And Power

Shri Sant Gajanan Maharaj College Of Engineering
Shegaon

Skills

  • Python
  • MySql, MongoDB
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure synapse analytics
  • Apache Spark, Pyspark
  • Hadoop, hive
  • Power BI
  • kafka
  • Real-time Data Processing
  • Data Migration
  • Data Mining
  • Team Collaboration
  • Active Listening
  • Adaptability and Flexibility

Certification

  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Power BI Analytics

Projects

1) End-to-end project: Ingesting raw data from on-premises systems, performing data transformation, loading into data storage, conducting analytics, and implementing thorough testing

2) Realtime Data Streaming Using Spark and Kafka.

3) IoT Device Data Integration and ETL Pipeline using Microsoft Azure

Timeline

Azure Data Engineer

TCS
03.2022 - Current

BE - Electrical Electronics And Power

Shri Sant Gajanan Maharaj College Of Engineering
Aditya Dabade