JAYASRI YALAVARTHI
@jayasriyalavarthi
Experienced Data Engineer with a passion for scalable data solutions.
What I'm looking for
I am an experienced Data Engineer with over 8 years of expertise in architecting, developing, and optimizing scalable data pipelines and cloud-native solutions across Azure, AWS, and GCP. My proficiency in building and orchestrating end-to-end ETL/ELT pipelines using tools like Azure Data Factory and AWS Glue has enabled me to deliver high-performance data solutions tailored to business needs.
Throughout my career, I have successfully led data migration projects, ensuring zero data loss and optimized performance. I have a strong background in cloud-based data engineering, data modeling, and machine learning integrations, which allows me to drive continuous innovation and deliver actionable insights. My collaborative approach and ability to work cross-functionally have been key to my success in delivering business-driven data solutions.
Experience
Work history, roles, and key accomplishments
Data Engineer
Prominent Insurance
Apr 2024 - Present (1 year 3 months)
Involved in requirement gathering, architecture development, design, development, and deployment of solutions built on the Azure Data Factory platform. Developed high performant data ingestion pipelines from multiple sources using Azure Data Factory and Azure Databricks.
Data Engineer
CVS Healthcare
Jul 2022 - Present (3 years)
Designed and managed scalable data pipelines using Azure Data Factory and Snowflake, enabling seamless data ingestion, transformation, and integration from multiple sources. Migrated legacy systems to Azure and Snowflake, significantly improving performance, reducing operational costs, and enhancing data accessibility and scalability.
Data Engineer
Zoho
Jan 2020 - Present (5 years 6 months)
Developed and optimized Spark jobs using Python, Spark SQL, and Data Frames for complex data transformations, aggregations, and batch processing workflows. Managed and optimized ETL pipelines using PySpark on AWS EMR and Glue, processing 10TB+ datasets daily and improving data ingestion speed by 67%.
Data Engineer
IBM
Mar 2017 - Present (8 years 4 months)
Tuned and optimized new ETL processes for faster load times and reduced resource consumption. Designed and implemented scalable data pipelines to collect, process, and store data.
Education
Degrees, certifications, and relevant coursework
Zoho
Bachelor of Technology, Computer Science
Developed and optimized Spark jobs using Python, Spark SQL, and Data Frames for complex data transformations, aggregations, and batch processing workflows. Worked with data serialization formats like Avro, Parquet, JSON, and CSV; applied techniques such as partitioning, compression, and caching for performance tuning.
Tech stack
Software and tools used professionally
Postman
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Talend
Data Studio
Microsoft Azure
Google Cloud Storage
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Salesforce
Jupyter
NumPy
Pandas
PySpark
dbt
DB
Sqoop
MySQL
PostgreSQL
Hadoop
Gmail
Databricks
Terraform
Visual Studio
IntelliJ IDEA
Azure DevOps
JSON
PowerShell
XML
TensorFlow
Keras
Kafka
ent
Azure Monitor
Azure Active Directory
Avro
Serverless
Azure Functions
Azure SQL Database
Visual Studio Code
Airflow
Azure Analysis Services
SQL
Azure Blob Storage
Availability
Location
Authorized to work in
Job categories
Skills
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