Bhavya S Email & Phone Number

As a skilled data engineering professional, I specialize in designing and implementing scalable ETL pipelines to streamline data integration and transformation. With deep expertise in building and deploying CI/CD pipelines using tools like Jenkins, GitLab CI/CD, and AWS Code Pipeline, I ensure efficient workflows and seamless delivery. My technical experience includes leveraging Apache Spark for big data processing, using Azure Data Factory for cloud-based data integration, and working with the Hadoop ecosystem, including HDFS, Hive, and MapReduce. Proficient in programming with Scala and Python, I excel at data manipulation and scripting, while tools like Apache Airflow enable me to orchestrate and schedule complex workflows.I bring hands-on experience with real-time data streaming platforms such as Kafka, Kinesis, and Flink, as well as expertise in data warehousing solutions like Redshift, Snowflake, and Big Query. My knowledge extends to infrastructure as code (IaC) tools like Terraform and CloudFormation, ensuring scalable and efficient infrastructure deployment. With strong skills in SQL and data visualization platforms such as Tableau, Power BI, and Looker, I transform raw data into actionable business insights. Additionally, I focus on maintaining data quality and governance using tools like Alation, Collibra, and Great Expectations.My ability to collaborate with cross-functional teams, including DevOps, data scientists, and business analysts, allows me to deliver end-to-end solutions that drive impact. With experience in optimizing ETL pipelines and monitoring distributed systems using tools like CloudWatch, Datadog, and ELK Stack, I ensure reliability and performance at scale. Combining technical expertise with a results-driven mindset, I am passionate about solving complex data challenges and helping organizations make data-driven decisions.