Nitish Dobriyal Email & Phone Number | Experienced Software Engineer with 4 years of experience working in data engineering and cloud. My professional skills include: -> AWS Services: S3, Redshift, Lambda, EC2, EMR, Glue, Athena, Dynamo DB, SQS, SNS -> Azure: ADF, Azure Functions, ADLS, Azure Databricks -> Big data frameworks: Apache Spark, Apache Hive, Apache Hadoop, Sqoop -> Programming: Python, C++ -> Databases: Mysql, Oracle -> Orchestration Tools: Apache Airflow, Control M -> DevOps: Bitbucket, GIT, JIRA, CI/CD, Jenkins -> Data Science: Numpy, Pandas, Matplotlib, Seaborn, EDA, Inferential Statistics, Machine Learning -> Good knowledge of Kafka and messaging queue frameworks Passionate about learning, developing, and building efficient solutions by solving real-time business problems proficiently.

Nitish Dobriyal

Experienced Software Engineer with 4 years of experience working in data engineering and cloud. My...
Dehradun, Dehradun, India

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Nitish Dobriyal’s Phone Numbers +1 408-508-****

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Nitish Dobriyal’s Location Dehradun, Dehradun, India

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Nitish Dobriyal’s Prior Industry Infosys | Sunfox Technologies

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Senior Software Engineer - Big Data

Present

Senior Systems Engineer

2021-10-01 00:00:00 - 2022-03-01 00:00:00

Summer Intern

2018-05-01 00:00:00 - 2018-06-01 00:00:00

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Nitish Dobriyal is a Experienced Software Engineer with 4 years of experience working in data engineering and cloud. My professional skills include: -> AWS Services: S3, Redshift, Lambda, EC2, EMR, Glue, Athena, Dynamo DB, SQS, SNS -> Azure: ADF, Azure Functions, ADLS, Azure Databricks -> Big data frameworks: Apache Spark, Apache Hive, Apache Hadoop, Sqoop -> Programming: Python, C++ -> Databases: Mysql, Oracle -> Orchestration Tools: Apache Airflow, Control M -> DevOps: Bitbucket, GIT, JIRA, CI/CD, Jenkins -> Data Science: Numpy, Pandas, Matplotlib, Seaborn, EDA, Inferential Statistics, Machine Learning -> Good knowledge of Kafka and messaging queue frameworks Passionate about learning, developing, and building efficient solutions by solving real-time business problems proficiently.