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yaswanth sai kalastri

@yaswanthsaikalastri

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Experienced Data Engineer with expertise in cloud data solutions.

Canada

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What I'm looking for

I am looking for a role that offers opportunities for growth and innovation in data engineering, with a focus on cloud technologies and collaborative team environments.

I am a Data Engineer with over 4 years of professional experience in the full life cycle of system development. My expertise lies in building batch and real-time data processing systems using AWS and Azure services. I have a strong background in ETL processing, data migration, and data analytics, which has allowed me to contribute significantly to various IT data analytics projects.

Throughout my career, I have successfully designed and developed ETL processes, optimized data transformation workflows, and integrated third-party data sources into cloud frameworks. My proficiency in programming languages such as Python, Scala, and SQL, along with my experience in big data frameworks like Apache Spark and Hadoop, has enabled me to deliver scalable and efficient data solutions. I am passionate about leveraging technology to drive business insights and improve operational efficiency.

Experience

Work history, roles, and key accomplishments

Data Engineer

Aviva

Feb 2025 - Present (5 months)

Designed and configured Azure Cloud relational servers and databases to meet current and future business requirements. Developed CI/CD pipelines using Azure DevOps to streamline code integration and deployment processes.

Azure Azure DevOps Pyspark SQL Snowflake Power BI Kubernetes Docker

Data Engineer

Sunnybrook

Feb 2024 - Present (1 year 5 months)

Developed ETL pipelines using Python and Snowflake, and migrated data from on-premises to cloud technologies. Built a data quality validation tool to ensure seamless cloud migration from on-premises to GCP.

Python Snowflake GCP Azure Spark Kafka Jira Jenkins DBT SQL

Data Engineer

Sanofi (Accenture)

Jul 2022 - Present (3 years)

Developed reusable frameworks for ETL from RDBMS to Data Lake utilizing Spark Data Sources and Hive. Implemented monitoring solutions in Ansible, Terraform, Docker, and Jenkins.

AWS Spark Hive Kafka DynamoDB Jenkins Docker Snowflake SQL Terraform

Data Engineer

Chubb (Cognizant)

Jul 2021 - Present (4 years)

Explored Spark for performance optimization in Hadoop using Spark context, Spark-SQL, and Spark Streaming. Developed data pipelines and workflows using Azure Databricks to process and transform large volumes of data.

Spark HBase GCP Databricks Python Scala SQL Airflow BigQuery

Education

Degrees, certifications, and relevant coursework

New York Institute of Technology Vancouver

Master of Science, Cybersecurity

Completed a Master of Science in Cybersecurity, focusing on advanced topics in digital security and data protection. Gained expertise in securing complex systems and data infrastructures.