Redon T.

Ritech delivers modern data and analytics solutions, helping organizations build scalable cloud-based data platforms and reporting ecosystems.

• Developed and maintained enterprise-scale data warehouse solutions using Snowflake as the central analytics platform.

• Designed, optimized, and enhanced data transformation workflows using dbt, improving maintainability and performance across multiple data domains.

• Led dbt project restructuring and repository clean-up initiatives, standardizing models, naming conventions, and deployment processes.

• Implemented performance optimization strategies in Snowflake, including query tuning, clustering, and warehouse optimization.

• Built and maintained dimensional data models (Star/Snowflake schemas) to support business intelligence and analytics requirements.

• Developed and maintained data ingestion pipelines from Azure Blob Storage and MySQL databases into Snowflake.

• Supported business reporting and self-service analytics through ThoughtSpot, ensuring reliable and performant data models for end users.

• Implemented data quality validation, testing, and monitoring using dbt best practices and automated checks.

• Designed and implemented real-time and batch data pipelines using Apache Airflow and Talend.
• Built and managed an AWS data lake with S3 and Parquet, optimized for efficient querying and integration.
• Automated data ingestion and transformation pipelines with AWS Glue, MQTT, and Apache Iceberg for Athena querying.
• Created ETL workflows in Talend to consolidate data from multiple sources, including SQL and NoSQL databases.
• Implemented CDC strategies and designed dimensional models to enhance analytics performance.
• Led real estate data integration projects, ensuring data quality, governance, and compliance.

• Designed data models and pipelines for centralized storage and business intelligence applications.
• Developed and maintained ETL workflows to integrate diverse data sources, improving data availability and consistency.
• Optimized pipelines to support real-time and batch ingestion in scalable data warehouse environments.
• Applied data transformation and validation processes to ensure high-quality, analysis-ready datasets.
• Automated data workflows to increase efficiency and reduce manual errors.
• Documented all data processes to enhance transparency and maintainability.

• Built scalable backend systems using Java and Spring Boot, emphasizing clean architecture and maintainability.
• Developed REST APIs and microservices to enable seamless integration between distributed systems.
• Contributed to solution architecture design to improve performance and scalability.
• Implemented caching, indexing, and asynchronous processing techniques to enhance backend performance.

• Developed and customized ERP modules and extensions for enterprise clients.
• Worked on both greenfield and legacy Dynamics-based systems.
• Supported system integrations and ensured client-specific adaptations of business logic.