Ashok Chabbi
Senior Lead - Big Data at Ust
Based in Bengaluru, India
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Seniority
Manager
Department
Other
Location
Bengaluru
Industry
IT Services and IT Consulting
Company size
39K
Contact information
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a•••••••@ust.com
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Background
About Ashok Chabbi
I have over 12+ years of experience in developing Big data applications. Worked as a Big Data Engineer/Lead for the Wal-Mart Stores, Inc more than 10+ years. Worked as Big data developer/Lead to process & manage the huge amount of data in day to day operations collected from various sources and load it into GCP to solve big data business solutions. Worked on tableau to visualize the data stored on google cloud. Worked on big data processing and storage frameworks like: Apache Airflow, Automic, Hadoop, Pyspark, Google cloud, HDFS, Apache Hive, Sqoop, ZooKeeper, Erwin,Tableau and Kafka Real-time processing Framework (Apache Spark) Worked on Big data development using database bases and Cloud storages like:(e.g. Google Cloud Platform(GCP), Informix, Db2, MSSQL, MySQL/ Oracle DB) NoSQL technologies (e.g. Cassandra) Programming Languages: Python/Java Knowledge of different Operating System – UNIX, Linux or MS Windows Knowledge of SOA, CI/CD Pipeline, monitoring & alert - Integration of Zoom and Slack with Apache airflow/Automic. Worked on data modelling using Erwin. I have worked in a various domains like Retail, Transportation and Logistics, Telecom and Health Care. Expertise: Worked as a Big Data Engineer in the International Data Lake Team: • Collaborated with team & management to understand the requirement & design the complete system • Implemented the complete Big data pipeline with real-time processing using Apache airflow/Automic. • Worked on hive query optimization using pepperdata and Ambari tools. • Worked on Hive to transform data for further downstream processing • Worked on worflow engine and scheduler like Apache airflow/Automic scheduler and automation. • Worked on data visualization using tableau. Technical Skills • Frameworks and skills: Apache Airflow, Automic Scheduler and automation, Hadoop, Pyspark, Google cloud, HDFS, Apache Hive, Sqoop, ZooKeeper, Erwin and Kafka, Apache Hive, GCP, Apache Kafka, Apache Storm. • Version Control Tools: GITHub, SVN, IBM ClearCase • Databases: Google cloud, Cassandra, Oracle 10g, SQL Server, MSSQL, MySQL, IBM DB2, Informix • IDE Tools: Intellij, Eclipse, RSA, MyEclipse, NetBeans. • Build and Deployment Tools: Looper and Maven
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