Venezuelan pharmacy retail chain with self-service model across 5,000+ locations
Farmatodo operates Venezuela's largest self-service pharmacy network, moving data infrastructure from transactional systems (Oracle Retail, Oracle Database) toward analytics (Looker, Power BI, Apache Spark). Active projects in data warehouse and data lake development signal a shift from operational reporting to analytical capability — consistent with scaling challenges around 24/7 availability and high-volume data processing across their footprint.
Farmatodo is a Venezuelan pharmacy retail chain founded in 1918, now operating as the country's self-service pharmacy pioneer. The company sells medications, personal care products, household goods, beauty items, and groceries across a large physical footprint. With 5,001–10,000 employees, the organization spans operations, supply chain, and technology teams. Engineering and data groups are actively building warehouse and data lake infrastructure to support real-time inventory, fulfillment, and store-level operations.
Farmatodo runs Oracle Retail and Oracle Database for core systems, with Python, Java, and Spring Boot for backend services. Frontend uses Angular and Flutter. Analytics stack includes Power BI, Looker, Apache Spark, and PySpark.
Current projects focus on pipeline construction, data warehouse design, and data lake development — infrastructure work to handle high-volume transaction processing and 24/7 operational availability.
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