Currently working for Quantom Tech Connected as a Data Engineer in the Mobility Division, where he is in charge of coordinating the dissemination of vehicle-derived data and digital mobility technologies. In charge of overseeing data persistence in AWS public cloud settings through the use of Glue, S3, EC2, Redshift, EMR, and Athena. Also skilled at using Spark clusters on EMR to monitor and validate large vehicle datasets. actively participating in the Databricks data migration process in order to improve client data access, for faster data processing pipelines, and for high performance computing capabilities.

• Designed, implemented, and optimized Snowflake data warehousing solutions to support efficient data storage, retrieval, and analysis across the organization.• Led and managed a diverse offshore team, creating a collaborative and high-performance environment. Provided mentorship to improve their technical skills and productivity.• Developed Data Vault 2.0 models to ensure data accuracy and consistency for reporting and analytics, collaborating with cross-functional teams to align data structures with business needs.• Designed, developed, and maintained ETL pipelines for data extraction, transformation, and loading into Snowflake using Matillion, streamlining data integration processes to improve quality and accessibility.• Extensive experience in using Data Build Tool (DBT) to create models that transform raw and staged data into business-driven views.• Implemented performance tuning and optimization techniques to improve query efficiency, reducing execution times and lowering organizational costs.• Ensured data governance, security, and compliance with industry standards and internal policies, overseeing data access control and encryption strategies through tagging, data masking, row-level access policies, and encryption management.Automated scripts and processes to increase system scalability and reduce manual intervention, leading to greater operational efficiency.• Facilitated clear communication with stakeholders, translating business requirements into technical solutions and ensuring projects aligned with organizational goals.• Demonstrated expertise in core Snowflake concepts such as recovery methods, cache usage, Streams (CDC), SnowSQL, Snowpipe, data sharing, UDFs, zero-copy clones, time travel, micro-partitioning, stored procedures, data import/export, RBAC, external tables, tasks, tags, dynamic masking, Snowpark, resource monitoring for AWS/Azure platforms, and query consumption analysis.

I wrote complicated instructions for an Oracle Database to organize and clean up information. Developed code to effectively manage and mitigate S3 throttling issues, optimize data transfer processes, and ensure robust performance in high-traffic scenarios. I made sure data and records were easily accessible and monitored on Amazon's CloudWatch service. I've used a bunch of Amazon Web Services like Storage Gateway, CloudWatch, EC2, CloudFormation, Lambda, DynamoDB, Step Function, EMR, IAM, RedShift, S3, Route53, and others.