Bhabani Shankar Jena
Cloud Architect @PwC
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WORK HISTORY
Cloud Architect @PwC
Atlanta, GA, US
EDUCATION
Biju Patnaik University of Technology, Odisha
Bachelor's degree
ABOUT BHABANI SHANKAR JENA
Data Architect | Sr. Data Engineer | Google Cloud Platform | GCP Certified | Azure | Multi Cloud Experience | Databricks | Big Data | Apache Spark | Hadoop | Python | SQL Scripting | ETL | Informatica | TeradataExperienced Data Architect with 13+ years of experience in IT industry including 5+ years experience in various Cloud platforms and Big data environment- Experience includes Requirement analysis, Functional design, Technical high-level design and detailed level design, coding, testing and production implementation, warranty support- Extensive hands-on experience in developing and architecting Google Cloud Platform (GCP) projects involving services like BigQuery, Dataflow, Pub/Sub, Dataproc, App Engine, Cloud shell, gcloud and gsutil functions, bq command line utilities, Cloud Storage, Cloud Monitoring & Logging- Experience in designing and creating data pipelines using various Cloud services and Big Data technologies- Multi Cloud Experience (Azure & GCP)- Experience of working on Databricks (Azure and Google Cloud) for running highly scalable and fast big data workloads using Apache Spark- Good knowledge of Lakehouse architecture through working experience of Delta Lake on Databricks providing reliable data lakes- Experience managing Google Cloud Storage and Data Lake Analytics and an understanding of how to integrate with other Google Cloud Services- Using Kafka, Spark streaming and Pub/Sub to ingest real time or near real time data- Converting Business logic into PySpark Code for Transformation- In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS, YARN, Name Node, Data Node, Resource Manager, Secondary Node and Map Reduce concepts- Hands on experience in using Apache Hadoop ecosystem components like HDFS, Hive, Sqoop, Flume, Spark, Pig and Oozie- Extensive experience in Data Warehousing domain (ETL domain using Informatica and RDBMS (Teradata/Oracle)- Expertise in different databases like Teradata, Oracle, IBM Netezza- Knowledge and hands on- experience in Python and UNIX shell Scripting- Hands-on in analyzing big datasets and finding patterns and insights with in unstructured and structured data- Have good Programming experience with Python and Scala- Extensive experience with SQL and database concepts- Decent understanding of Docker and Kubernetes.
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