Database Engineer with 5+ Years of Experience

SRAVYA K

IL – ***** *******.**@*****.*** 773-***-**** https://www.linkedin.com/in/sravya-k-6aba88394/ SUMMARY

Database Engineer with 5+ years of experience designing, implementing, and managing enterprise databases and cloud-based data solutions. Skilled in SQL and NoSQL technologies, cloud platforms (AWS, Azure, Oracle Cloud), DevOps tools, backup and recovery, and data analytics pipelines. Proven track record in optimizing database performance, ensuring high availability, and supporting BI/analytics initiatives in healthcare and enterprise environments. SKILLS

Database Technologies: Oracle, PostgreSQL, MySQL, SQL Server, Aurora PostgreSQL, Aurora MySQL NoSQL Databases: Amazon DynamoDB, Cassandra, MongoDB Cloud Services: AWS (RDS, EC2, S3, IAM, CloudWatch, Tungsten), Azure (Blob Storage, Data Factory, Data Lake, Synapse Analytics), Oracle Cloud

DevOps & Containerization: Kubernetes, Docker

Backup & Recovery Solutions: RMAN, BARMAN, AWS Backup, Percona XtraBackup Programming & Scripting: Python, Shell Scripting, SQL, PySpark Data & Analytics Tools: Azure Databricks, Azure ML Studio, Azure Stream Analytics BI & Development Tools: Power BI, Visual Studio Code, GitHub EXPERIENCE

Database Engineer Jul 2025 – Present

CVS HEALTH – USA

Designed and managed cloud-based databases using AWS RDS (Aurora MySQL/PostgreSQL) and Azure SQL to support healthcare applications, improving query performance by 35% and reliability for critical reporting systems.

Developed and optimized complex SQL and PySpark scripts for ETL pipelines, reducing data processing time by 30% for operational and analytics workloads.

Implemented backup and recovery strategies using RMAN, AWS Backup, and Percona XtraBackup, ensuring 99.99% data availability and fast disaster recovery.

Automated database monitoring and alerts using CloudWatch, Azure Monitor, and custom Python scripts, enabling proactive issue detection and resolution.

Collaborated with BI teams to support Power BI dashboards and Azure Databricks data pipelines, improving data delivery speed for enterprise reporting.

Database Engineer Intern Jan 2025 – May 2025

PICKET – USA

Assisted in database migration and deployment tasks on AWS and Azure cloud platforms, ensuring minimal downtime and secure data transfer.

Supported creation of ETL pipelines using SQL, Python, and Azure Data Factory to ingest and transform structured and unstructured data for analytics.

Developed scripts to automate routine maintenance tasks, backup validation, and performance monitoring, reducing manual effort by 40%.

Assisted in building dashboards with Power BI to visualize operational metrics and database performance insights. Jr. Database Engineer Oct 2018 – May 2023

COGNIZANT – INDIA

Maintained and optimized enterprise databases (Oracle, MySQL, SQL Server, PostgreSQL) to support applications across finance and healthcare clients.

Designed SQL queries, stored procedures, and indexes to improve reporting and analytics performance by 25%.

Implemented data backup, recovery, and replication strategies using RMAN and cloud-based solutions, reducing downtime and data loss risk.

Supported DevOps initiatives with Docker and Kubernetes, containerizing database services for test and production environments.

Worked with cross-functional teams to troubleshoot performance issues, enforce data governance, and ensure compliance with client security standards.

EDUCATION

Masters in Information Technology and Management

ILLINOIS INSTITUTE OF TECHNOLOGY, IL, USA

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