Teams at Addepto

Design and implement scalable batch and streaming data pipelines on Databricks and cloud platforms; build data transformations, CI/CD and MLOps practices; collaborate with data scientists; create data governance, monitoring, and Power BI visualizations; translate business requirements into performant technical solutions.

Lead design and implementation of scalable, secure architectures bridging legacy systems and cloud-native platforms. Provide technical leadership, define integration patterns (WebLogic, IBM MQ, Kafka), apply DDD, leverage Azure and Kubernetes, document architectures, and mentor teams to ensure performance, reliability, and alignment with business goals.

Design, build, and maintain scalable data pipelines and platforms for batch and streaming data using Spark, Airflow, Iceberg, and cloud services. Optimize ingestion, processing, and storage, collaborate with stakeholders, monitor platform performance, and write high-quality Python/Java/Scala code to support enterprise reporting and analytics.