Diksha Hirole
@dikshahirole
Data Engineer
Pune
Highly skilled AWS Data Engineer with 2+ years of experience in designing and implementing data pipelines, creating data architectures, and optimizing data flow. Expertise includes AWS services, SQL, Python, Pyspark, and ETL tools. The candidate is proficient in handling complex big data processing needs, optimizing Spark performance, and collaborating with stakeholders to perform source-to-target data mapping.
Experience
Data Engineer
Blazeclan Technologies
Designed and implemented data pipelines using AWS services such as S3, EC2, Lambda, Glue, and DynamoDB. Optimized data flow and improved data quality by implementing ETL processes using Python, Pyspark, and SQL. Developed and maintained data models and data dictionaries. Created a data ingestion pipeline from IBM DB2 to S3 using AWS DMS and performed ETL using AWS GLUE and Pyspark. Created an insightful dashboard using QuickSight and implemented automated reporting.
Data Analyst Intern
Saama Technologies
Extracted, transformed, and loaded data using ETL tools such as Informatica. Developed dashboards and reports using Tableau and Power BI.
Education
MIT Aurangabad
BTech
Computer Science & Engineering
Licenses & Certifications
Microsoft Azure Data Fundamentals DP-900
Microsoft