Headline

Data Engineer with 3.5+ Years of Experience | Certified Azure Data Engineer | Azure Cloud | Snowflake | PySpark | Big Data | SQL | ETL | Data Pipelines | Python | Spark | Cloud Data Solutions | Immediate Joiner

About

At MAXTON TECHNOLOGY, my role centers on fine-tuning SQL queries and managing data workflows within Snowflake, where my work significantly contributes to our robust data analysis capabilities. The practical application of my Engineering degree from Savitribai Phule Pune University is evident as I navigate complex data structures and optimize storage solutions like Azure Data Lake Service Gen2, ensuring peak system performance. With a Microsoft Certified: Azure Data Engineer Associate credential, my proficiency in NoSQL and Azure technology stacks empowers the team to innovate and streamline processes. Our efforts are geared towards enhancing data retrieval and system efficiency, which are critical for delivering actionable insights and supporting our clients' strategic objectives.

Location

India

Work experience

Data Engineer at MAXTON TECHNOLOGY, Jul 2023 - Present · 3 yrs, 1) Tasked with writing and optimizing SQL queries in Snowflake to meet client requirements, ensuring accuracy and efficiency in data retrieval and analysis. 2) Responsible for creating and managing Tasks and Streams in Snowflake. 3) Performed complex Join Operations in Snowflake, integral for merging data from disparate sources to provide comprehensive insights. 4) Managing and retrieving historical data as per project needs, crucial for trend analysis and decision-making processes.

Intern Data Engineer at MAXTON TECHNOLOGY, Jan 2023 - Jun 2023 · 6 mos, 1) Understand the client requirement for developing the project. 2) Responsible for developing and maintaining the infrastructure that supports DATA STORAGE, processing, and retrieval. 3) Improving the performance of DATA SYSTEMS and PIPELINES that involve tasks such as optimizing code, tuning queries, and scaling infrastructure. 4) Perform optimization techniques in order to enhance performance of spark job. 5) Importing all data and tables into AZURE SQL DATA BASE. 6) Load the data from RDBMS to HDFS for processing. 7) Extract data into blob storage in CSV File format.

Education

Bachelor of Engineering - BE, Engineering, Savitribai Phule Pune University