Shivashanker Bitla
Senior Technical Architect @Cboe Global Markets
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WORK HISTORY
Senior Technical Architect @Cboe Global Markets
Real time trade activity stream processing, machine learning and business intelligence.Architect and implement -Data streaming platform development using Kafka, Spark, Machine learning-Data Analytics using R-High throughput low latency in-memory database such as Volt-Design and build Hadoop platform with Kerberos-Design and implement in Cloud Amazon Web Services (AWS)-Exploring Docker data center-On premise and cloud integration of streaming and hadoop platforms, cloud application access to on-premise platform and vice versa-Agile, CI/CD environment
ABOUT SHIVASHANKER BITLA
Demonstrated and proven record of product development, DW and BI reengineering to align IT strategies with business goals to drive revenue growth. Innovative strategist adept at leveraging technology to cut costs and increase productivity. Outstanding ability to combine big picture vision with hands-on attention to detail and communicate across all organizational levels. Creative thought leadership with focus on managing right balance between strategic visioning, customer centric delivery, operational excellence and innovation. Experience with medium/large scale Hadoop, MongoDB environments design, build, installation, configuration, benchmarking and testing Good understanding and hands on experience of BIG Data technologies – Hadoop (Cloudera, Hortonworks), NO SQL (HBase, MongoDB, Cassandra), Cloud (Amazon Web services, Microsoft Azure), Experience with Data Ingestion, Data quality, Data Governance for the Enterprise Data hub built on the Big data systems Have hands on experience in Hadoop, HDFS, MapReduce, YARN, Hive, Impala, Sqoop, Flume, Cloudera Hadoop cluster administration, Spark, R, HBase, Ambari, HortonWorks, Kafka etc. Strong skill set in Java, Python, SQL. Worked with a number of Data bases such as Mysql, Oracle, Teradata for data modeling, ETL etc.Technical - Big Data Ecosystem - Real-time streaming (Kafka, Spark), Batch (Hadoop, Pig, Hive, Python, Scala, Map Reduce), NoSQL - HBase, MongoDB, Cassandra, In-memory high throughput low latency (Volt)- Cloud - Amazon web services (AWS)- Analytical tools - R, Python, SAS, KXEN, Angoss, SAS GRID, SAS EBI Platform Administration- Docker data center
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