Professional Journey
5+ years transforming data into business value through scalable engineering solutions
Data Engineering Excellence
Proven track record of designing and implementing enterprise-scale data solutions across diverse industries including EMS software, investment funds, banking, and aviation.
Senior Data Engineer
Leading enterprise data engineering initiatives for Fortune 500 clients across healthcare and software industries.
📊 Enterprise Analytics & ML Data Platform
Implemented a scalable data platform leveraging medallion architecture to support enterprise-wide analytics and machine learning initiatives, enabling advanced data science capabilities across multiple business units.
- Designed and deployed medallion architecture (Bronze, Silver, Gold layers) for structured data lake implementation
- Developed PySpark-based data processing pipelines for large-scale analytics
- Implemented Infrastructure as Code using Terraform for automated cloud resource provisioning and management
- Built serverless data processing solutions with Azure Functions
- Established comprehensive data quality framework using Great Expectations for automated testing and validation
❄️ Snowflake Data Platform Architecture
Implemented a comprehensive three-layer data platform in Snowflake, serving as the backbone for external visualization tools and business intelligence.
- Designed dynamic tables across OLAP, Shared, and Reporting View layers ensuring optimal performance
- Implemented robust debugging processes for client-reported visualization issues through comprehensive data analysis
- Established CI/CD pipelines for seamless deployment across development and staging environments
- Reduced data retrieval time by 40% through optimized table structures
⚡ Large-Scale XML Processing Pipeline
Developed a high-performance ETL pipeline capable of processing massive volumes of nested XML files with complex transformations and dual-database loading.
- Built Python framework applying 30+ rule-based transformations to XML data
- Designed complete Snowflake infrastructure including tables, Snowpipes, and automated tasks
- Created entity-relationship models spanning Stage, RAW, and OLAP layers
🔍 Investment Data Quality & Validation Framework
Developed a comprehensive data quality assurance system combining advanced SQL scripting with Python automation to ensure accuracy and integrity of critical investment data across multiple business systems and reporting workflows.
- Developed extensive suite of SQL scripts for automated data quality checks across investment portfolios and trading systems
- Created Python automation frameworks for data manipulation, cleansing, and standardization processes
- Implemented comprehensive data validation rules ensuring compliance with regulatory and internal standards
- Built custom data quality monitoring dashboards using internal tools
- Designed robust ETL scripts for seamless data integration between trading platforms and reporting systems
Intermediate Data Engineer
Contributed to data engineering initiatives in a dynamic startup environment.
🔄 Enterprise Event Data Integration Pipeline
Designed and implemented comprehensive SSIS-based ETL pipelines to process and integrate event data across multiple business units, providing centralized data support for enterprise-wide analytics and reporting.
- Built robust SSIS packages for automated event data extraction from multiple source systems across business units
- Developed complex T-SQL stored procedures for data transformation and business logic implementation
- Created standardized data models ensuring consistent event tracking across different organizational departments
- Implemented error handling and logging mechanisms to ensure data quality and pipeline reliability
- Established automated scheduling and monitoring for continuous data support operations
Data Engineer
Developed enterprise data solutions for banking and financial services clients, focusing on production support and scalable ETL processes.
☁️ Enterprise Cloud Migration & Lakehouse Implementation
Led the complete migration of critical business processes from on-premises infrastructure to Azure cloud, implementing modern lakehouse architecture with Databricks.
- Orchestrated end-to-end data pipeline migration using Azure Data Factory
- Implemented lakehouse architecture on Databricks with Delta Lake optimization
- Achieved 60% improvement in processing speed through cloud-native solutions
- Established real-time analytics capabilities for business intelligence
✈️ Advanced Flight Rescheduling Analytics
Built a comprehensive analytics solution for calculating economic impact of flight rescheduling decisions, providing critical insights for operational optimization.
- Designed sophisticated algorithms for flight rescheduling impact analysis
- Created comprehensive Power BI dashboards for executive decision-making
- Developed robust technical documentation and testing frameworks
- Enabled data-driven decisions saving millions in operational costs
✈️ Airport Staff Planning System
Developed an staff planning tool that optimizes airport workforce allocation across Latin America based on real-time operational demands.
- Analyzed complex business requirements and translated them into functional specifications
- Developed predictive algorithms for dynamic staff allocation across multiple airports
- Implemented comprehensive unit testing framework ensuring reliability
- Reduced staffing costs by 25% while improving operational efficiency