Kumari S
AWS Data Engineer
- Role
- Data Engineer at Cox Communications
- Location
- Milwaukee, WI, US
- LinkedIn followers
- 500 followers
About Kumari S
Driving Force in my life is joyful path with efficient hard-work & smart-work in a…
Experience
Data Engineer
Apr 2023 — Present · Atlanta, GA, US
Managed Amazon EC2 instances by creating and managing AMIs, applying tags, and configuring permissions for secure deployments.2. Designed and implemented serverless microservices using AWS Lambda, S3, CloudWatch, and API Gateway for scalable and cost-effective solutions.3. Conducted architecture assessments and implementations of AWS services like EMR and Redshift to optimize data processing and analytics capabilities.4. Developed optimized data models for Snowflake, leveraging AWS EMR and other tools to transform and load data from diverse sources with a focus on efficiency and reliability.5. Built and optimized ETL/ELT pipelines for Snowflake, utilizing native features and tools like Apache Airflow and AWS Glue to streamline data flow and transformation.6.Monitored and optimized Snowflake performance, implemented caching strategies with Redis, and migrated legacy jobs to Spark for enhanced efficiency.7. Led Agile adoption in data engineering teams, improving project delivery and collaboration across data processing and analytics initiatives.8. Conducted data quality assessments and implemented governance policies to ensure data integrity and compliance with regulatory requirements.9.Integrated Amazon CloudWatch for application monitoring and logging, developed custom dashboards and alarms to ensure high availability and performance. Managed multiple DB2 database instances, ensuring high availability and data integrity while optimizing performance for AWS-hosted applications. Designed, developed, and maintained Tableau reports and visualizations to provide insights and drive data-driven decision-making across the organization. Developed automation scripts and frameworks using Python and SQL tools to streamline data processing and analytics workflows. Documented Snowflake configurations, best practices, and provided training to ensure effective usage of data platforms and tools within the organization.
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