Teja U Email & Phone Number

Over 9 years of experience in Data Engineering, Data Pipeline Design, Development, and Implementation as aSr. Data Engineer/Data Developer and Data Modeler. Cross-functional technical professional with progressive experience in Big Data Systems Administration, Linuxsystems, Security, and technical support within large-scale enterprise IT portfolios, and service projects. Data Engineering professional with solid foundational skills and a proven track of implementation in a varietyof data platforms. Self-motivated with a strong adherence to personal accountability in both individual andteam scenarios. Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, DesignSpecification, and Testing as per Cycle in both Waterfall and Agile methodologies. Strong experience in writing scripts using Python API, PySpark API, and Spark API for analyzing the data. Extensively used Python Libraries PySpark, Pytest, Pymongo, cx_Oracle, PyExcel, Boto3, Psycopg, embedPy,NumPy, and Beautiful Soup. Hands-on use of Spark and Scala API to compare the performance of Spark with Hive and SQL, and Spark SQL tomanipulate Data Frames in Scala. Expertise in Python and Scala, user-defined functions (UDF) for Hive using Python. Skilled in Tableau Desktop versions 10x for data visualization, Reporting, and Analysis. Developed reports, and dashboards using Tableau for quick reviews to be presented to Business and IT users. Extensive knowledge in various reporting objects like Facts, Attributes, Hierarchies, Transformations, filters,prompts Calculated fields, Sets, Groups, Parameters, etc., in Tableau experience in working with Flume and NiFifor loading log files into Hadoop. Experience in working with NoSQL databases like HBase and Cassandra. Experienced in creating shell scripts to push data loads from various sources from the edge nodes onto theHDFS. Worked with Cloudera and Hortonworks distributions. Expertise working with AWS cloud services like EMR, S3, Redshift, and EMR cloud watch, for big datadevelopment. Good working knowledge of Amazon Web Services (AWS) Cloud Platform which includes services like EC2, S3,VPC, ELB, IAM, DynamoDB, CloudFront, Cloud Watch, Route 53, Elastic Beanstalk (EBS), Auto Scaling, SecurityGroups, EC2 Container Service (ECS), Code Commit, Code Pipeline, Code Build, Code Deploy, DynamoDB, AutoScaling, Security Groups, CloudWatch, CloudFormation, CloudTrail, OpsWorks, Kinesis, IAM, SQS, SNS, SES.

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  Jntuh College Of Engineering Hyderabad

  Computer Science