Tejashree Guruwale
Pune
Summary
Seeking a challenging position in an organization where I can use my talents and skills to grow and expand an organization as well as myself. I accept challenges as opportunities.
5+ years of overall experience of IT in Telecom domain and Azure Data Engineering is 3 years of Experience in Azure Data Factory, Azure Data Bricks, Azure Data Lake storage, pyspark, python.
Overview
8
8
years of professional experience
Work History
Data Engineer
ACL
Pune
06.2024 - Current
- Working on data integration and transformation tasks using Azure Data Factory (ADF), Databricks, and SQL.
- Developed and optimized pipelines for data movement and transformations across multiple environments.
- Collaborated with teams to implement parameterized triggers in ADF for seamless deployment across different environments.
- Engaged in cost optimization by experimenting with compute sizes and types for dbt transforms.
- Integrated Power BI refreshes into ADF pipelines to ensure real-time data availability.
- Created stored procedures for automating periodic tasks in SQL Server.
Azure Data Engineer
ATOS
06.2022 - 10.2022
- In this project multiple internal systems sends data in csv format on daily basis and comes automatically into ADLS location
- There are couple of data validation needed to perform on incoming data
- Once everything is passed, data need to be persisted in delta table in Databricks which use by downstream system
- Worked as a Data Engineer as part of an Enterprise Data Analyst Team for AT&T
- Having experience in Implementing Azure Data Factory components such as Pipelines, Linked Services, dataset, Lookup, Get metadata, for each and more activities
- In the Azure data factory, Used an Incremental Load approach for loading new data files/records
- Used for azure data lake gen 2 for storing the data
- Having good knowledge on creating triggers for scheduling and monitoring pipelines
- Write a Program in Pyspark language to process the raw data
Senior Software Engineer
Quality Kiosk
08.2021 - 02.2022
- Hands-on experience in Azure Services-ADLS, Azure Data Factory
- Extensive experience in creating pipeline jobs, scheduling trigger, Mapping data flows using Azure Data Factory
- Good experience working with Azure BLOB and Data Lake storage Loading data into Azure SQL DB
- Extensive experience in Developing Spark applications using Pyspark /Spark SQL on Azure Databricks for data extraction, transformation from multiple file formats for analyzing and transforming data
QA
Amdocs Limited
05.2020 - 08.2021
- Having experience in ADF
- In the Azure data factory, Used an Incremental Load approach for loading new data files/records
- Extracted data from various sources like SQL server, Oracle, SFTP, Manual files, Blob Storage
- Used for azure data lake gen 2 for storing the data
- Having good knowledge on creating triggers for scheduling and monitoring pipelines
Functional/Automation Tester
Insight Infosolution
06.2016 - 08.2019
Education
B.E - Information Technology
Rashtrasant Tukdoji Maharaja Nagpur University
01.2015
Diploma - Information Technology
MSBTE
01.2011
Skills
- Azure Data Factory (ADF)
- Azure Data Bricks (ADB)
- Azure Data Lake storage (ADLS)
- PySpark
- Python
- Spark
- Oracle RDBMS
- DataWarehouse
Languages
- English
- Marathi
- Hindi
Timeline
Data Engineer
ACL
06.2024 - Current
Azure Data Engineer
ATOS
06.2022 - 10.2022
Senior Software Engineer
Quality Kiosk
08.2021 - 02.2022
QA
Amdocs Limited
05.2020 - 08.2021
Functional/Automation Tester
Insight Infosolution
06.2016 - 08.2019
B.E - Information Technology
Rashtrasant Tukdoji Maharaja Nagpur University
Diploma - Information Technology
MSBTE
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