Lokesh Gotmare
Pune
Summary
Experienced Azure Data Engineer with over 4+ years of expertise in designing, developing, and implementing data solutions on the Microsoft Azure platform. Possesses a strong understanding of data engineering concepts, cloud technologies, and data management best practices. Excels in creating optimized ETL pipelines, developing scalable data warehousing solutions, and leveraging advanced analytics tools like Databricks.
Overview
6
6
years of professional experience
Work History
Data Engineer
Cybage Software
06.2022 - Current
- Developed and optimized ETL pipelines using Azure Data Factory, achieving a 30% reduction in processing time and enhancing overall data workflow efficiency.
- Ingested and stored multi-source data into Azure Data Lake Storage (ADLS) Gen2, improving data accessibility by 30%.
- Automated the data pipeline with Azure Data Factory (ADF), increasing operational efficiency by 20%
- Developed and optimized PySpark-based ETL pipelines to process and transform raw data, achieving a 25% reduction in data processing time.
- Utilized Databricks for advanced analytics, reducing Spark job execution time by 50% and enabling real-time data processing for faster, actionable insights.
- Created Azure data factory pipelines to pull data from on-premise Oracle database, and Azure SQL DB to Azure Data Lake storage as a full load daily into corresponding folders.
- Utilized Agile methodologies and Confluence to manage project progress, ensuring timely delivery and effective team collaboration.
BI and Data Analyst
Tata Communication Transformations Service
04.2019 - 03.2020
- Established expertise in data analysis and interpretation, resulting in a 30% improvement in decision-making efficiency.
- Created and optimized ETL processes using Azure Data Factory to aggregate advertising data from multiple sources, reducing data processing time by 30%.
- Designed and implemented Tableau dashboards for real-time insights into campaign performance, increasing report generation speed by 25%.
- Led a data cleansing initiative that improved data accuracy by 15%, resulting in more reliable analytics and better decision-making for clients.
BI and Data Analyst
Vodafone India Ventures Limited
10.2018 - 04.2019
- Developed dashboards and reports using tools like Tableau, resulting in a 20% improvement in decision-making efficiency for stakeholders.
- Conducted detailed analysis on large datasets using SQL and Excel to derive actionable insights and trends, increasing reporting accuracy by 30%.
Education
B. E. - Electronic and Telecommunication
Jspm's Imperial College of Engineering
Pune, India05.2018
Skills
Data Storage & Modeling
- ADLS
- BLOB
- Data Warehouse
- OLAP
- OLTP
- Dimension Modelling
- Data Modelling
Data Processing
- ETL
- Azure Data Factory
- Databricks
- PySpark
- Spark
- Delta Lake
- Data Lake
- Logic App
Data Governance & Version Control
- Unity Catalog
- Git
- Azure DevOps
- CI/CD
Data Visualization
- Power BI
- Tableau
Programming
- Python
- SQL
Languages
English
Hindi
Marathi
Timeline
Data Engineer
Cybage Software
06.2022 - Current
BI and Data Analyst
Tata Communication Transformations Service
04.2019 - 03.2020
BI and Data Analyst
Vodafone India Ventures Limited
10.2018 - 04.2019
B. E. - Electronic and Telecommunication
Jspm's Imperial College of Engineering
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