I have over five years of experience in data management, focusing on organizing, storing, and analyzing application data. My role involved ensuring data integrity, optimizing databases, and implementing data governance policies. I’ve worked with SQL, NoSQL, and cloud-based data platforms, ensuring seamless integration with applications. My expertise includes data migration, ETL processes, and creating data pipelines to support application functionality. I also collaborated with cross-functional teams to align data strategies with business goals, ensuring data-driven decision-making.

To ensure data accuracy and consistency, I implement robust validation rules, data cleansing processes, and automated monitoring tools. I use ETL pipelines to standardize data formats and enforce data integrity constraints. Regular audits and reconciliation processes help identify discrepancies. I also collaborate with development teams to ensure APIs and integrations maintain data consistency. Documentation and clear communication with stakeholders are key to aligning data standards across applications, ensuring reliable and accurate data for decision-making.

I’ve used a variety of tools, including SQL databases like MySQL and PostgreSQL, NoSQL databases like MongoDB, and cloud platforms like AWS and Azure. For data analysis, I rely on Python, R, and tools like Tableau and Power BI. I’ve also worked with ETL tools like Apache NiFi and Talend for data integration. Additionally, I use version control systems like Git and CI/CD pipelines to manage data-related code. These tools enable me to efficiently manage, analyze, and visualize application data, ensuring it meets business needs.

I prioritize data security by implementing encryption, access controls, and regular security audits. I ensure compliance with regulations like GDPR and HIPAA by maintaining detailed documentation and conducting periodic reviews. I also train teams on data security best practices and monitor systems for vulnerabilities. By integrating security measures into the data lifecycle, I minimize risks and ensure sensitive data is protected. Collaboration with legal and compliance teams ensures adherence to industry standards and regulatory requirements.

In a previous role, an application experienced data corruption due to a faulty ETL process. I quickly identified the root cause by analyzing logs and tracing the data flow. I restored the corrupted data from backups and implemented additional validation checks to prevent recurrence. I also optimized the ETL pipeline to improve performance and reliability. This resolution minimized downtime and ensured data integrity, earning praise from stakeholders for my problem-solving skills and attention to detail.