Lasya Marella-Data Engineer
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Experience
Data Engineer
Carelon Global Solutions (Elevance Health)
- Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
- Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
- Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
- Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
- Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
- Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
- Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.
ETL Developer
Carelon Global Solutions (Elevance Health)
- Performed root cause analysis for ETL incidents and data anomalies reported by stakeholders, implementing code fixes that reduced production incidents by ~20%.
- Optimized ETL pipelines through logic improvements and code refactoring, reducing processing time by ~35%.
- Conducted unit and integration testing for all code changes, ensuring data correctness before promoting updates to production environments.
- Managed data pipelines using Airflow and utilized Git-based CI/CD to automate code deployments and maintain version control.
- Collaborated with QA and business teams in an Agile environment to deliver technical enhancements during scheduled release cycles.
IT Analyst
Teleperformance DIBS
- Worked on Google Maps-related products, testing and validating functionality based on user-reported issues.
- Investigated customer queries, identified defects or inconsistencies, and documented detailed analysis reports for development teams.
- Acted as a bridge between users and developers by translating issues into clear, actionable technical insights.
Industry Experience
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Experienced in Healthcare and Information Technology.
Business Area Experience
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Experienced in Information Technology, Business Intelligence, Customer Service, and Quality Assurance.
Summary
Data Engineer with 4 years of data experience, including 2 years as an ETL Developer. Proficient in building scalable ETL/ELT pipelines using AWS, Snowflake, dbt, and Python for healthcare insurance data. Skilled in supporting large-scale data migrations, applying Kimball modeling, and delivering Power BI dashboards for data-driven decision-making.
Skills
- Programming: Sql (Advanced), Python (Pandas, Numpy), Unix Shell Scripting
- Databases & Data Warehousing: Snowflake (Snowpipe, Streams, Data Sharing), Teradata, Oracle, Sql Server
- Cloud: Aws (S3, Glue, Dms, Step Functions), Gcp (Bigquery)
- Etl & Orchestration: Dbt, Apache Airflow, Fivetran, Informatica Powercenter
- Devops & Tools: Git, Docker, Ci/Cd Pipelines
- Ai & Automation: Claude, Cursor
- Data Modeling & Quality: Kimball Modeling, Dbt Tests, Great Expectations
- Bi & Visualization: Power Bi (Dax, Power Query)
Languages
Education
Jawaharlal Nehru Technological University
BTech. in Electronics and Communication Engineering · Electronics and Communication Engineering · Hyderabad, India
Certifications & licenses
AWS Certified Cloud Practitioner
Power BI
Python For Data Analysis & Visualization
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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