Kishore Kumar Chamarthi — Data Engineer
Data Engineer with 13+ years of experience in IT with expertise in Data warehousing, Big Data, Apache Spark, PySpark, Python, SQL, ETL, DataStage and Business Intelligence. Expertise in Azure Cloud technologies like Azure Databricks, Azure Data Factory, Azure Data Lake Storage Gen 2 and Azure Synapse Analytics. Involved in gathering the requirements, analyzing and translating business needs into technical design, develop and implement complex data pipelines for the clients. My Skillset is mentioned below. Big Data: Hadoop, Hive, HDFS, Spark, PySpark, Python ETL: DataStage Databases: Oracle, SQL Server, Netezza, DB2 Programming Languages: Scala, Unix Shell Scripting Cloud Technologies: Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics Scheduling Tools: Control-M, Autosys, Airflow
Stackforce AI infers this person is a Data Engineering expert with strong capabilities in Big Data and Cloud technologies.
Location: Toronto, Ontario, Canada
Experience: 14 yrs
Career Highlights
- Over 13 years of experience in Data Engineering.
- Expertise in Azure Cloud technologies and Big Data.
- Proficient in developing complex data pipelines.
Work Experience
Scotiabank
Senior Data Engineer (3 yrs 9 mos)
Tata Consultancy Services
Azure Data Engineer (6 mos)
Citi
Assistant Vice President (5 mos)
Senior Application Programmer (1 yr 3 mos)
HCL Technologies
Lead Big Data Developer (9 mos)
Lead ETL DataStage Developer (3 yrs 3 mos)
ETL DataStage Developer (2 yrs 10 mos)
Misys Software Solutions
ETL DataStage Developer (1 yr 3 mos)
Education
Master of Business Administration - MBA at Anna University
Bachelor of Engineering - BE at PRATHYUSHA ENGINEERING COLLEGE