About

Pallavi Angraje is a Senior Software Engineer at Intuit with a passion for data. With over 5 years of relevant experience, she has a strong skill set in building large-scale data pipelines, data warehousing, and data modeling. Pallavi is specialized in SQL, Python, and Spark development, and has a deep understanding of various AWS and Azure services. Pallavi's expertise extends to performance tuning on DB (Redshift, Postgres, MySQL), Spark, SQL, and building data marts. She also has experience with data visualization and has spoken at conferences, including the DataOps Observability conference by UnravelData, where she presented on data quality at scale at Intuit. Pallavi's solutions included identifying data anomalies using SQL, ML-based validations, data lineage-metadata tracking for root cause analysis, and operational excellence measures. In her current role at Intuit, Pallavi is a Senior Software Engineer responsible for developing data engineering solutions. In her previous role as Data Engineer at samya.ai, Pallavi was a founding member and worked on designing and building data engineering solutions from scratch. She developed solutions in a generalized and robust manner to support top CPG companies. Pallavi has experience in data curation, in-house platforms for data preparation, feature engineering, ETL pipelines for data ingestion to Postgres DB, and performance tuning with a large focus on data validation. She worked closely with the data science, ML engineering, and the application team and carried out multiple proof of concepts to choose the right tools and technologies for the tech stack in the organization. Pallavi holds a Bachelor of Engineering degree in Computer Science from N M A M Institute of Technology, Nitte. Her tech stack includes Software Engineering, SQL, Spark, AWS, Data Engineering, Python, ML, Postgres, Azure, MySQL, Data Scientist, and ETL. Pallavi is a talented and experienced Senior Software Engineer with a passion for building scalable data solutions.