Susmitha Kanagala — Data Engineer
Data Engineer with experience in the Information Technology field, includes development and Implementation of various applications in cloud platform includes building data intensive applications, tackling challenging problems, collecting, transforming and sorting data in the banking field. Enjoy creative problem solving and getting exposure on multiple projects, and would excel in the collaborative environment. • Proficient in working with Azure Blob Storage, Azure Data Lake Storage, Azure Data Factory, Azure SQL Data Warehouse, Azure Data Bricks and on Python, SQL and PL/SQL concepts. • Worked on migrating and transforming data from on premise to cloud and between cloud services by creating Azure data factory pipelines & data flows using different ADF activities and components. • Experienced in writing PySpark Applications to connect to different cloud services like Azure SQL DB, Azure Postgres, Azure Synapse Analytics, ADLS, AWS S3 and performing different data transformations based on the business requirements. • Familiar with Azure DevOps to deploy ADF pipelines and ARM Templates into other environments by creating release pipelines. • Worked along with DevOps team to create environment specific Configuration yaml files to deploy code through CI/CD process by creating artifacts using a central repository. • Familiar with Processing of Real-Time Streaming data using Azure Event Hubs and Azure stream Analytics and visualizing the results using Power BI. • Had good knowledge and Hands on with the ETL tool Informatica, Talend to understand the existing flows, to modify the flow and to create the data flow based on the requirement. • Worked in Google Cloud in a source-consumer application using different GCP services like Google Cloud Storage, Cloud Data proc, Big Query, Google Cloud PUB/SUB, Google Cloud Composer etc. • Creation of airflow DAGs using python to orchestrate the data flow using Google cloud services. • Extensively worked with source code management and version control tools like Git, GitHub. • Familiar with Agile way of working, used JIRA to track work progress and Confluence to prepare and manage technical documentations. • Worked with AWS services S3, Redshift, AWS EMR, EC2 and AWS Glue to migrate and to transform data and also to create end to end data flow. • Familiar with components of Hadoop Ecosystem like HDFS, HIVE and HQL. • Knowledge on writing test cases and test plan to validate the data completeness and data accuracy.
Stackforce AI infers this person is a Data Engineer specializing in cloud data solutions across multiple platforms.
Location: Charlotte, North Carolina, United States
Experience: 0 mo
Skills
- Microsoft Azure
- Apache Spark
- Google Cloud Platform (gcp)
- Azure Data Factory
- Snowflake
- Informatica Powercenter
- Python
Career Highlights
- Expert in cloud data engineering with Azure, GCP, and AWS.
- Proficient in building data pipelines and ETL processes.
- Strong background in data migration and transformation.
Work Experience
UBS
Cloud Data Engineer (2 yrs 11 mos)
Dun & Bradstreet
Data Engineering Sr Analyst (1 yr 4 mos)
UBS
Data Engineer (1 yr 1 mo)
RBL Bank
Data Engineer (10 mos)
Länsförsäkringar
Data Engineer (1 yr 3 mos)
Capgemini
Software Developer (1 yr)
Education
Bachelor of Technology - BTech at National Institute of Technology Calicut
Secondary Education at Sri Chaitanya College of Education