MANISHA SRIVASTAVA

IT professional with seven years of experience, five of which are dedicated to Data Engineering in cloud environments. Skilled in developing scalable data pipelines and ETL processes using Azure Databricks, PySpark, and SQL. Strong background in creating data solutions on Azure Data Lake and Data Factory, with hands-on experience in both batch and streaming data for real-time analytics. Expertise in data transformation and optimization, along with successful migration of legacy systems to cloud-based architectures.

I hereby declare that the information provided by me is true to the best of my knowledge and understanding.

Date of Birth: 11/24/95

• 7 years of total IT experience, including 5 years as a Data Engineer with a focus on cloud-based big data solutions.
• Expertise in building scalable data pipelines and ETL workflows using Azure Databricks, PySpark, and SQL.
• Proficient in designing end-to-end data solutions on Azure Data Lake, Data Factory, and Delta Lake.
• Strong experience in developing batch and streaming data solutions for real-time analytics.
• Skilled in data wrangling, transformation, and performance optimization of large datasets.
• Worked closely with data analysts, scientists, and business teams to deliver curated and clean data.
• Experience in migrating legacy systems to modern cloud-based architectures for enhanced efficiency.
• Hands-on experience working with structured data (SQL-based) and semi-structured data (JSON, Parquet, Avro).
• Designed data ingestion frameworks capable of handling diverse data formats from varied source systems.
• Solid understanding of the internal working of Spark.