About

Laraib Siddiqui is a skilled Data Engineer with over 1+ years of experience in the Data Engineering industry. She has a strong background in Data Engineering and Cloud Computing (AZURE), PySpark, and ETL. She holds a B.Tech degree in Computer Science from Manav Rachna University. Laraib has expertise in conceptualizing and implementing data pipelines, building Big Data systems to provide a Unified Analytics Platform, and converting data into informational insights. She has a demonstrated history of working on projects that help organizations make data-driven decisions. Currently, Laraib is serving her notice period as a Data Engineer at Tata Consultancy Services (TCS), where she has been working on several projects. She has orchestrated a Pipeline that would extract the DDL and table data of a table from Azure Synapse to Adls Gen2 to help the client with the efficient backup of the DDL of the SQL tables. She has also developed a Data Ingestion pipeline using CTAS to load terabytes of data more efficiently into the synapse pool. The pipeline achieved a throughput rate of 10TB/hour. Additionally, she has developed dashboards and metrics to monitor the Data Ingestion framework performance with different copy methods and settings, which helped the client manage the cost and resources for the activities. Prior to TCS, Laraib has worked as a Python Developer at Magyk Software, where she developed test cases for SQL Databases to check the validity of data and its respected schema. She has also worked as a Data Analyst at Moodagent, where she worked on a project that was dealing with the segregation of data that was coming from multiple sources. Laraib's technical skills include Data Engineering, SQL, Azure, Big Data, ETL, Python, and test. She has relevant experience of 2.03 years. With her strong engineering background and expertise in data engineering, Laraib is a valuable asset to any organization.