Junior data professional with hands on experience in SQL, Python, data analytics, and cloud based data platforms, focused on data quality and analytics ready datasets.
Designed and implemented an end-to-end ETL pipeline for e-commerce data using AWS Glue and Amazon S3, loading curated datasets into Snowflake for analytics and reporting. Included SQL-based transformations and data validation.
Automated ingestion and cleaning of Mexico COVID-19 data. Loaded to PostgreSQL via Docker; queried with SQL for validation and exploration.
Deployed a MySQL instance on Amazon RDS, secured via VPC and security groups, and integrated it with QuickSight for building interactive data visualizations. Included detailed documentation of IAM policies and network security design.
Built an Amazon Aurora (MySQL-compatible) cluster and connected it securely from EC2. Covered endpoints, security groups, and connectivity validation.
Python, SQL
MySQL, PostgreSQL, IBM Db2
Amazon QuickSight, Google Looker, IBM Cognos
AWS, Snowflake, Docker
Git
MongoDB, Cassandra, Airflow, Kafka, Spark, Hadoop
ETL Pipeline Development • Data Modeling • Analytical Thinking • Documentation • Teamwork