Priyanka Koritala
San Marcos
Summary
Data Engineer with four years of experience in designing and maintaining scalable data pipelines for analytics and machine learning applications. Results-driven Data Analytics Engineer with proven skills in Python and SQL. Expertise in constructing scalable data pipelines and developing machine learning systems to enhance operational efficiency.
Overview
10
10
years of professional experience
1
1
Certification
Work History
Big Data/Data Analytics Engineer
Illumina
San Diego
07.2017 - Current
- Constructed scalable data pipelines using Python, SQL (Snowflake), dbt, and SQLMesh.
- Developed low-latency machine learning systems utilizing Kafka, Pub/Sub, REST, and S3.
- Modeled data for OLTP and data warehouses with Parquet, Avro, and Iceberg formats.
- Orchestrated workflows employing Airflow, Dagster, and Prefect for optimized operations.
- Automated CI/CD processes and testing for data code following software engineering best practices.
- Ensured data governance and access controls to protect sensitive information.
- Created technical documentation and incident response playbooks for operational readiness.
- Facilitated business intelligence initiatives using Looker, Mode, and Sigma.
Data Engineer
Vistage worldwide
San Diego
07.2016 - 05.2017
- Analyzed data through SQL, Excel, and Python for actionable insights.
- Created dashboards utilizing Looker, Tableau, or Power BI to visualize data trends.
- Performed data cleaning and validation to enhance reliability and accuracy.
- Generated reports and visualizations to support informed business decision-making.
- Automated recurring reports and data workflows to improve efficiency.
- Supported ad hoc analysis and fulfilled stakeholder data requests promptly.
- Maintained documentation to ensure data accuracy and facilitate future access.
Software Intern
Dell EMC
Boston
09.2015 - 01.2016
- Facilitated data collection, cleaning, and preparation using Excel and SQL.
- Conducted analysis of business data to identify trends and insights.
- Developed dashboards and visualizations with Power BI, Tableau, or Looker.
- Generated weekly and monthly reports for internal teams.
- Executed exploratory data analysis (EDA) with Python or Excel.
- Documented data sources and reporting processes for clarity.
- Collaborated with analysts and stakeholders on data-driven projects.
Education
Master of Science - Computer And Information Sciences
Rivier University
Nashua, NH05-2016
Skills
- Programming and scripting languages: Python and SQL (Snowflake, PostgreSQL, BigQuery)
- Data transformation tools: dbt and SQLMesh
- Workflow orchestration tools: Airflow and Dagster
- Data modeling techniques: Dimensional modeling and OLAP/OLTP schemas
- Cloud services: AWS (S3 and Lambda) and GCP (Pub/Sub and BigQuery)
- Data formats supported: Parquet and Avro
- Business intelligence tools: Looker and Tableau
- Version control systems: Git and GitHub
- DevOps methodologies: CI/CD with GitHub Actions
- Testing frameworks utilized: dbt tests and Great Expectations
- Data governance strategies: Role-based access control policies
- Documentation platforms: Confluence and dbt docs
Certification
- Data Cloud
- Data Science Certification
- Tableau Training: Completed Tableau training from Udemy focusing on dashboard creation and data visualizations.
Accomplishments
In my previous role at Illumina, leveraged my analytical skills to build 25+ dashboards, improving the business decision-making process by 30%.
Used problem-solving skills at Dell to design a dimensional model, leading to a 10% improvement in report generation time.
Languages
English
Full Professional
Spanish
Limited
Affiliations
Reading: Enjoys reading up on the latest news and trends in the technology industry.
References
References available upon request.
Timeline
Big Data/Data Analytics Engineer
Illumina
07.2017 - Current
Data Engineer
Vistage worldwide
07.2016 - 05.2017
Software Intern
Dell EMC
09.2015 - 01.2016
Master of Science - Computer And Information Sciences
Rivier University
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