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Saivijitha User

@saivijithauser

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Experienced Senior Data Engineer specializing in ETL and cloud solutions.

United States

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What I'm looking for

I am seeking a challenging role that fosters innovation and offers opportunities for professional growth, particularly in data architecture and machine learning.

I am a Senior Data Engineer with over 4 years of experience in the Finance and Healthcare sectors. My expertise lies in developing robust ETL/ELT pipelines, data acquisition, and data warehousing solutions. I have a strong background in utilizing cloud services such as AWS and Azure to create scalable data processing applications. My work with Spark applications in Azure Databricks has enabled me to extract and transform data efficiently, providing valuable insights into customer usage patterns.

Throughout my career, I have successfully designed and implemented complex data models and pipelines, ensuring compliance with industry standards such as HIPAA and GDPR. I am proficient in various programming languages including Python, Scala, and Java, and have extensive experience with tools like Tableau and Power BI for data visualization. My commitment to continuous learning and improvement drives me to adopt new technologies and methodologies, enhancing the performance and reliability of data solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Conifer Health Solutions

Jan 2024 - Present (1 year 6 months)

Collaborated with Business Analysts and SMEs to gather business requirements, applying problem-solving and decision-making to prioritize tasks. Developed and deployed Spark applications using Scala, PySpark, Spark Core, Spark SQL, and Spark Streaming within AWS EMR clusters, ensuring scalable processing of EHR, Healthcare, and e-commerce data pipelines in PHI-compliant environments.

Spark Pyspark AWS Lambda AWS Glue Snowflake DBT Kubernetes Jenkins Figma HIPAA)PCI DSS HL7 FHIR

Data Engineer

Cognizant

Aug 2021 - Dec 2022 (1 year 4 months)

Developed highly complex Python, Scala, and Go code for banking/finance data processing and analytics. Utilized Azure Data Factory for ETL processes, focusing on data transformation, cleansing, validation, and quality assurance, complemented by complex SQL queries using Spark SQL dataframes within Azure Databricks and BigQuery.

Python Scala Go)Azure Data Factory Databricks BigQuery Kafka RabbitMQ Azure HDInsight Pyspark Airflow Snowflake DBT Azure DevOps Docker Azure Kubernetes Service Terraform PCI DSS GDPR

Associate Data Engineer

Cognizant

Jul 2020 - Jul 2021 (1 year)

Conducted detailed analysis of data issues, mapping data from source to target, and performed data cleansing on the Data Warehouse. Designed ETL specification documents and implemented pipelines using Informatica, Azure Data Factory, and Apache Sqoop to load data into target systems.

Informatica Azure Data Factory Sqoop Snowflake Tableau Domo Git GitHub Selenium SQL NoSQL HBase Cassandra REST APIs Microservices GDPR HIPAA)

Education

Degrees, certifications, and relevant coursework

University Of Texas at Arlington

Master of Science, Data Science

Currently pursuing a Master of Science in Data Science, focusing on advanced data analysis, machine learning, and statistical modeling. Gaining expertise in various data science methodologies and tools.