Swetha Kanakamedala
Austin,TX
Summary
Highly skilled and motivated Data Engineer with a proven track record of designing, building, and optimizing large-scale data pipelines and systems. Proficient in leveraging cutting-edge technologies to extract, transform, and load (ETL) data from diverse sources, ensuring high data quality, integrity, and accessibility. Adept at creating robust data architectures to support complex analytical processes and drive data-driven decision-making for businesses. Strong communication and collaboration skills, enabling seamless cross-functional teamwork and effective project delivery.
Overview
1
1
year of professional experience
Work History
Data Engineer
Tek Leaders
Frisco, TX
12.2022 - 07.2023
- Design and implement data pipelines using Azure technologies such as Azure Data Factory, Azure Stream Analytics, and Azure SQL Database
- Migrate on-premises data stores to Azure cloud platforms
- Implement data transformations using Azure Databricks
- Collaborate with data scientists to design and implement machine learning models using Azure Machine Learning
- Optimize data pipelines for performance and scalability
- Monitor and troubleshoot data pipelines within Azure Data Factory
- Create and maintain data models and schemas to support data warehousing and analytics initiatives.
Collaborate with cross-functional teams to ensure data security, compliance, and privacy standards are met. - Monitor and troubleshoot data pipelines and resolve any performance or data quality issues.
- Perform data analysis and profiling to identify data quality issues and implement data cleansing techniques.
- Build interactive reports and dashboards using data visualization tools such as Power BI.
Jr. Data Engineer
Neo Prism Solutions
Charlotte, NC
09.2022 - 12.2022
- Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL.
- Architect & implement medium to large scale BI solutions on Azure using Azure Data Platform services (Azure Data Lake, Data Factory, Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB).
- Design & implement migration strategies for traditional systems on Azure (Lift and shift/Azure Migrate, other third-party tools.
- Engage with business users to gather requirements, design visualizations and provide training to use self-service BI tools.
- Used various sources to pull data into Power BI such as SQL Server, Excel, Oracle, SQL Azure etc.
- Propose architectures considering cost/spend in Azure and develop recommendations to right-size data infrastructure.
- Develop conceptual solutions & create proof-of-concepts to demonstrate viability of solutions.
- Technically guide projects through to completion within target timeframes.
- Collaborate with application architects and DevOps.
- Identify and implement best practices, tools and standards.
- Design Setup maintain Administrator the Azure SQL Database, Azure Analysis Service, Azure SQL Data warehouse, Azure Data Factory, Azure SQL Data warehouse.
- Build Complex distributed systems involving huge amount data handling, collecting metrics building data pipeline, and Analytics.
Education
Master of Science - Data Science
University of North Texas
Denton, TX08.2022
Skills
Programming Languages: Python, Java, UNIX, Shell Scripting
Databases & Query Languages: Oracle, MySQL, MongoDB, PostgreSQL, SQL Server, Spark SQL, Snowflake
Tools and Technologies: Juypter Notebook, Tableau, Microsoft Office Suite (Word, Power Point, Excel), Operating Systems (LINUX, UNIX, WINDOWS), SAS, SPSS, MATLAB, RDBMS, Machine learning (Linear regression, SVM, Decision tree, KNN, Navie bayes, Random Forest, K-means, Logistic)
Hadoop & Big Data: HDFS, Hive, Sqoop, Spark Streaming, Kafka, MapReduce, Pig, HBase, Oozie, Airflow
Cloud: MS Azure
Timeline
Data Engineer
Tek Leaders
12.2022 - 07.2023
Jr. Data Engineer
Neo Prism Solutions
09.2022 - 12.2022
Master of Science - Data Science
University of North Texas