Summary
Overview
Work History
Education
Skills
Timeline
Generic
Deepthi Devarapalli

Deepthi Devarapalli

Eindoven

Summary

Results-focused data professional equipped for impactful contributions. Expertise in designing, building, and optimizing complex data pipelines and ETL processes. Strong in SQL, Python, and cloud platforms, ensuring seamless data integration and robust data solutions. Known for excelling in collaborative environments, adapting swiftly to evolving needs, and driving team success.

Overview

8
8
years of professional experience

Work History

Azure Data Engineer/office 365 Developer

ASML veldhoven
08.2023 - Current
  • Collecting and Understanding the Business Requirement and creating development plan
  • Having hands on Experience on JIRA Board
  • Creating Development documents and implementing strategies as per the requirement
  • Creating power Bi dashboards using DAX based on the customer requirement
  • Developing and implementing the new applications on organization level
  • Onboarding new users to the applications based on the Requirements
  • Application changes by using Azure AD
  • Deploying code by using DevOps CI/CD pipelines
  • Involving Data Migrations using Azure Services
  • Performed data transformation utilizing Data Bricks, Scala, and SQL coding languages.
  • Developed scalable pipelines to process and handle data efficiently.
  • Developed triggers for ADF pipelines.
  • Creating automation scripts for daily extracts like license allocation, mobile allowance
  • Closing working with Microsoft regarding new teams, New outlook etc
  • Collecting issues from end users and supporting them
  • Client: ASML(end user services)

ADB/ADF Developer

Capgemini India Pvt Ltd
12.2021 - 12.2022
  • Collecting and Understanding the Business Requirement Documents and building the relationships between the various data sets
  • Responsible for orchestration using ADF and data transformations using ADB using Scala and SQL coding languages
  • Implemented ADF Linked services, Datasets, Pipelines, Activities and Triggers
  • Involved in Data migration i.e., from Universal Data Lake to Business Data Lake (level1)
  • Involved in Data migration i.e., from Business Data Lake to Business Data Lake (level2)
  • Developed Pipelines in Azure Data Factory and monitored the same, also fixed issues on pipeline failure
  • Having experience on Control flow, Data Flow and Transformation in ADF
  • Worked on Triggers to run Pipelines on timely basis using Schedule Trigger and Event Based Trigger
  • Creating power Bi dashboards
  • Having experience on creating Notebooks with Azure Data bricks using Spark SQL function
  • Having experience on deploying code in GIT Repos using Azure DevOps
  • Worked on Unit Testing for the developed Notebooks for Loading Data (Full Load, Delta load (based on requirement)) & Pipeline’s for monthly/Daily/Annual basic
  • Have experience on Water Mark and JMF Concepts in Pipeline execution
  • Having hands on Experience on JIRA Board
  • Client: Unilever

Azure Developer

IBM
12.2019 - 12.2021
  • Collecting and Understanding the Business Requirement Documents
  • Created Data Factory pipelines processing data loading from source to destinations
  • Created Storage Accounts in Data Lake
  • Monitoring the Pipelines
  • Worked on Unit Testing for the developed Notebooks for Loading Data (Full Load, Delta load (based on requirement)) & Pipeline’s for monthly/Daily/Annual basic
  • Having experienced on ETL Tools i.e (DBT tool)
  • Created Azure data bricks note books
  • Experience to update the JIRA Board
  • Attending the Daily Scrum Calls
  • Worked on the Pipeline Failures
  • Client: SIEMENS

Team Member (Monitoring)

IBM
08.2017 - 12.2019
  • Monitoring Incident queue
  • Incident Analysis
  • Communicate with support teams to ensure to assign the incidents
  • Assign the Incidents to respective teams and make sure to follow the SLA process to resolve the Incidents on priority basis
  • Resolves tickets and troubleshoots the technical Issues with the standard documents
  • Client: IKEA

Education

Bachelor of Technology - undefined

JNTUK University
05.2014

Skills

  • Technologies used: Azure Date Bricks, Azure Data Factory, Data Lake, Azure Synapse, azure AD, Power Bi, DAX, Office365 suite
  • Database: Microsoft SQL server, Azure
  • Tools: JIRA, GIT, DevOps Tools, DBT
  • Operating Systems: Windows Family
  • Domain knowledge: Application Development

Timeline

Azure Data Engineer/office 365 Developer

ASML veldhoven
08.2023 - Current

ADB/ADF Developer

Capgemini India Pvt Ltd
12.2021 - 12.2022

Azure Developer

IBM
12.2019 - 12.2021

Team Member (Monitoring)

IBM
08.2017 - 12.2019

Bachelor of Technology - undefined

JNTUK University
Deepthi Devarapalli