Govindan Gopalan Email & Phone Number | Multi-faceted professional with advanced analytical, reasoning, and problem-solving skills. Proven track record in data analysis, opinion mining, business intelligence, project management, business process improvement, and market research. Demonstrated expertise in using extremely large, complex data sets to draw conclusions and effectively communicate findings with both technical and non-technical team members. Extensive expertise in developing, architecting, and managing medium to complex data analytics projects, designing data warehouses, data pipelines with the following tech stack Programming Languages: Spark, Python, Java, Scala, Operating System: Linux, Shell Scripting. Datawarehouse: Snowflake, Apache Hive. Design & create data models, develop databases, SQL queries & procedures. Relational Databases: DB2, MySQL. Non-Relational Databases: Apache Cassandra, MongoDB, Neo4J, Redis, Apache HBase. ETL: IBM DataStage. Cloud: IBM Cloud. Cluster: Apache Hadoop, HDFS, MapReduce. Storage: IBM Cloud Object Storage(COS). Data Processing: Apache Pig, Apache Spark, Apache Flink. Streaming : Apache Kafka. Workflow Scheduling: Apache Airflow, Argo. Data Pipeline Monitoring: Prometheus. Container: Docker. Container Orchestration: Kubernetes, RedHat OpenShift. CI/CD: Jenkins. Business Intelligence: Dundas & Tableau.

Govindan Gopalan

Multi-faceted professional with advanced analytical, reasoning, and problem-solving skills. Proven t...
Bengaluru, Bengaluru, India

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Govindan Gopalan’s Email gg@ibm.com

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Govindan Gopalan’s Location Bengaluru, Bengaluru, India

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Ai and Data Engineering Leader - Experience Insights, Digital Sales Analytics, Chief Information Officer A andI Labs, Isl

Present

Technical Lead (Adobe Technologies, Web Development)

2007-08-01 00:00:00 - 2010-08-01 00:00:00

Macromedia Director And Flash Developer

2004-04-01 00:00:00 - 2005-01-01 00:00:00

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Govindan Gopalan is a Multi-faceted professional with advanced analytical, reasoning, and problem-solving skills. Proven track record in data analysis, opinion mining, business intelligence, project management, business process improvement, and market research. Demonstrated expertise in using extremely large, complex data sets to draw conclusions and effectively communicate findings with both technical and non-technical team members. Extensive expertise in developing, architecting, and managing medium to complex data analytics projects, designing data warehouses, data pipelines with the following tech stack Programming Languages: Spark, Python, Java, Scala, Operating System: Linux, Shell Scripting. Datawarehouse: Snowflake, Apache Hive. Design & create data models, develop databases, SQL queries & procedures. Relational Databases: DB2, MySQL. Non-Relational Databases: Apache Cassandra, MongoDB, Neo4J, Redis, Apache HBase. ETL: IBM DataStage. Cloud: IBM Cloud. Cluster: Apache Hadoop, HDFS, MapReduce. Storage: IBM Cloud Object Storage(COS). Data Processing: Apache Pig, Apache Spark, Apache Flink. Streaming : Apache Kafka. Workflow Scheduling: Apache Airflow, Argo. Data Pipeline Monitoring: Prometheus. Container: Docker. Container Orchestration: Kubernetes, RedHat OpenShift. CI/CD: Jenkins. Business Intelligence: Dundas & Tableau.