Tejaswini Atluri
Data Engineer
- Role
- Data Engineer at Infosys
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Tejaswini Atluri
Software Engineer with 8+ years building and operating production-grade distributed…
Experience
Data Engineer
Dec 2018 — Present
Experienced and results-oriented Data Engineer with 8+ years of experience designing, building, andoptimizing cloud-based data ecosystems across Azure, Snowflake, and Databricks platforms. Proven ability to architect and operationalize end-to-end data pipelines using Azure Data Factory,Databricks, and PySpark to deliver clean,reliable, and analytics-ready data. Expert in writing complex, high-performance SQL queries, ingesting large and diverse datasets from multiple sources, and performing data validation, cleansing, and standardization using Python. Known for implementing robust data quality frameworks, automated alerting systems, and complete visibility into data pipelines that ensure trust and transparency in analytics. Passionate about driving data excellence through automation, best practices, and collaboration between engineering and business teams.Core Competencies & Highlights:•Architected and managed end-to-end Azure Data Lake pipelines, integrating structured and unstructureddata sources for enterprise analytics.•Skilled in writing, debugging, and optimizing complex SQL queries to improve performance and scalability.•Designed and implemented ETL/ELT workflows in Azure Data Factory and Databricks for both batch andstreaming data processing.•Experienced in data ingestion from key sources such as APIs,CSV,JSON, and log files, loading data intoAzure Data Lake Storage (ADLS) with schema validation and metadata management.•Developed Python and PySpark scripts for data merging, transformation, and standardization acrossmultiple business domains.•Applied data validation and cleansing frameworks to ensure data integrity and consistency acrossenvironments.•Built data observability, alerting, and quality monitoring systems to provide end-to-end visibility intopipeline performance and validation metrics.•Integrated Snowflake as a warehousing solution within Azure architecture for BI and analytical workloads.
Education
St. Francis College for Women
Bachelor's degree, Mathematics and Computer Science
St.francis college, hyd
Bachelor's degree, Computer Science
2014 — 2017
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