Sahith Tummala

Cloud Data Enthusiast with 6 years of work experience in building end to end data platform delivering insights for business decision making In Azure and AWS Platforms.Experience in big data technologies - Hadoop, HDFS, Pyspark,MapReduce, YARN, Spark, Scala, Sqoop, Hive and Kafka.Experience in Datastage ETL - data extract, transform, load, and create workflow of sequences and jobs.Good understanding of Software Development Life Cycle - Waterfall and Agile methodologies.

Technical Exposure

# Languages: SQL, Python, Java

# Data Storage: ,Azure DeltaLake,AWS Redshift, PostgreSQL, MySQL, SQL Server, Oracle, Apache Cassandra

# Data Pipelines & ETL: Azure Data Factory,Data Bricks,Apache Airflow, Apache Spark, AWS Glue,

# Unstructured Data: Api, Json, Parquet, XML

# Business Intelligence and Reporting: Tableau

• Over 6.5 years of work experience in IT industry as a Data Engineer at Capgemini, Zebra Technologiesand

Tata Consultancy Services.

• UsedHadoopandApacheSparkframeworkstobuild thedistributedscalabledatasolutions
• Hands-on experience in Hadoop architecture and various components such as Name Node, Data Node, Resource Manager and NodeManager
• Expertise in performing Data Ingestion, Data Transformation, Data Analytics andDataVisualization
• Comprehensive knowledge on HDFS, MapReduce, YARN, Hive, Pig, Sqoop, Flume, HBaseandZookeeper
• Experience in importing and exporting the relational data using Sqoop from HDFS to RDBMSandviceversa
• OptimizationofHivequeriesusingbestpracticesandrightparametersandusingtechnologieslike Hadoop, YARN, Python,PySpark.
• Worked extensively with Microsoft SQL Server, Core SQL, SSIS,SSRS,
• Good understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, Driver Node, Worker Node, Stages, Executors and Tasks.
• Responsible for data extraction and data integration from different data sources into Hadoop Data Lake by creating ETL pipelines Using Spark, MapReduce, Pig, andHive.
• DesignedendtoendscalablearchitecturetosolvebusinessproblemsusingvariousAzureComponentslike

Azure Synapse, Azure Data Factory, Azure Data Lake.

• Experience in Developing Spark applications using Spark - SQL in Azure Databricks for data extraction, transformation and aggregation from multiple fileformats.
• Hands-on experience with Amazon EC2, Amazon S3, DynamoDB,Amazon RDS, VPC, IAM, Amazon ElasticLoad Balancing, Auto Scaling, Cloud Front, CloudWatch, SNS, SES,SQS.
• Hands on experience with AWS,Elastic Map Reduce (EMR),S3, EC2 instances ,Athena andRedshift.
• Hands on experience of UNIX and shell scripting to automatescripts.
• Proficient in using Spark-SQL with various data sources like JSON, Parquet, ORC, Avro, Sequence and various compression formats like Snappy andGzip

• All the projects which I have worked for has been tracked usingJIRA.

Post-Graduation in Cloud Computing for Big Data – Data Analytics|Lambton College|Jan 2020- August 2021 Course Work: Database Design, Cloud Computing, Data Analysis, Big Data Strategies and Distributed Systems Bachelor of Technology in Computer Science | Vignan University| 2011 – 2015 Course Work: DBMS, Object- Oriented Programming, Operating Systems and Software Engineering