Pooja Dangi — Product Manager
Big Data Engineer with 8+ years of experience in designing, developing, and implementing scalable and robust big data solutions Data Bricks Certified Apache Spark Developer. Extensive experience with design, development, optimization and performance tuning of big data pipelines with Spark SQL using Scala/Python on cloud environment. Experience in working on Microsoft Azure Cloud (Azure Storage, Data Factory, Data Lake, HDInsight, Hive, SQL Data Warehouse, and SQL Server), AWS (EMR, S3, Lambda Function, MWAA, Cloud-Watch, SNS, Step Functions) and Graph Database (Neo4J). Good knowledge Data Warehouse Concepts, ETL Strategy, Data Modelling and Hadoop Concepts. Experience in processing different file formats like, Parquet, ORC, JSON, CSV. Used optimized data storage using columnar storage formats and indexing techniques, reducing storage costs by 20%
Stackforce AI infers this person is a Big Data Engineer with expertise in SaaS and cloud technologies.
Location: Pune, Maharashtra, India
Experience: 10 yrs 6 mos
Career Highlights
- 8+ years of experience in big data solutions.
- Data Bricks Certified Apache Spark Developer.
- Expertise in optimizing big data pipelines.
Work Experience
UST
Senior Developer Big Data (3 yrs 3 mos)
Envestnet | Yodlee India
Associate Member Of Technical Staff (2 yrs 5 mos)
PwC India
Senior Associate (9 mos)
Tavant
Senior Software Engineer (Analytics) (4 yrs)
Education
Master of Computer Applications - MCA at National Institute of Technology, Tiruchirappalli
BCA at Prestige Institute of Management & Research, Dewas