Supported a data analytics and BI platform enabling organization-wide data-driven decision making. Designed and implemented ELT pipelines landing curated datasets into Snowflake to power BI and analytics. Optimized SQL and stored procedures for performance and governance. Automated testing and deployments via GitLab CI/CD to improve reliability and speed of delivery. Operationalized Databricks (production) jobs on Azure with governed access (Unity Catalog) and job clusters. Applied Data Vault 2.0 patterns for scalable, auditable modeling across core domains.

Supported a data analytics and BI platform enabling organization-wide data-driven decision making. Designed and implemented ELT pipelines landing curated datasets into Snowflake to power BI and analytics. Optimized SQL and stored procedures for performance and governance. Automated testing and deployments via GitLab CI/CD to improve reliability and speed of delivery. Operationalized Databricks (production) jobs on Azure with governed access (Unity Catalog) and job clusters. Applied Data Vault 2.0 patterns for scalable, auditable modeling across core domains.

Led development of a multi-tenant, multi-cloud data/ETL platform. Built scalable data pipelines with Apache Spark (PySpark) across AWS and Azure; integrated Azure Data Factory for orchestration. Operationalized Databricks (production) on Azure for Spark workloads with job clusters and governed notebooks. Applied Data Vault 2.0 modeling patterns to standardize core entities and enable auditability. Established containerized, CI/CD-driven microservices using Spring Boot, Terraform, and Docker. Implemented data lake patterns with Iceberg/Parquet to standardize storage and improve query performance.

Led development of a multi-tenant, multi-cloud data/ETL platform. Built scalable data pipelines with Apache Spark (PySpark) across AWS and Azure; integrated Azure Data Factory for orchestration. Operationalized Databricks (production) on Azure for Spark workloads with job clusters and governed notebooks. Applied Data Vault 2.0 modeling patterns to standardize core entities and enable auditability. Established containerized, CI/CD-driven microservices using Spring Boot, Terraform, and Docker. Implemented data lake patterns with Iceberg/Parquet to standardize storage and improve query performance.

Developed a real-time and batch data platform for blockchain analytics. Delivered streaming/batch pipelines with Kafka and Spark (Python), scaling on AWS EMR with S3 Parquet storage. Automated workflows using Airflow; added observability with Datadog for reliability and SLAs. Migrated Java services to Spring Boot to improve maintainability and performance. Led a team of four engineers; ran Agile ceremonies, aligned roadmaps with Product/BI, and owned delivery and SLAs.

Developed a real-time and batch data platform for blockchain analytics. Delivered streaming/batch pipelines with Kafka and Spark (Python), scaling on AWS EMR with S3 Parquet storage. Automated workflows using Airflow; added observability with Datadog for reliability and SLAs. Migrated Java services to Spring Boot to improve maintainability and performance. Led a team of four engineers; ran Agile ceremonies, aligned roadmaps with Product/BI, and owned delivery and SLAs.

Designed and delivered data migration and analytics capabilities. Built distributed ETL with Spring Batch to migrate PostgreSQL data into Elasticsearch using bulk APIs. Deployed workers on Kubernetes with horizontal scaling and backpressure; instrumented with Prometheus/Grafana. Optimized index templates and mappings to improve ingestion throughput and search performance. Led a cross-functional team of 4–5 engineers; set engineering standards, ran design reviews, and coordinated delivery with stakeholders.

Designed and delivered data migration and analytics capabilities. Built distributed ETL with Spring Batch to migrate PostgreSQL data into Elasticsearch using bulk APIs. Deployed workers on Kubernetes with horizontal scaling and backpressure; instrumented with Prometheus/Grafana. Optimized index templates and mappings to improve ingestion throughput and search performance. Led a cross-functional team of 4–5 engineers; set engineering standards, ran design reviews, and coordinated delivery with stakeholders.

Led development of a travel platform; established data foundations for analytics and reporting. Architected platform modules and data models to support core travel flows (search, booking, payments) with high availability. Built Pentaho ETL pipelines and BI dashboards to surface KPIs (conversions, occupancy, revenue) for stakeholders. Optimized PostgreSQL queries and indexes to improve response times and reduce costs. Established engineering practices (Git workflow, code reviews) and mentored a distributed team. Led a distributed team of three engineers; coordinated delivery, stakeholder alignment, and Agile ceremonies.

Led development of a travel platform; established data foundations for analytics and reporting. Architected platform modules and data models to support core travel flows (search, booking, payments) with high availability. Built Pentaho ETL pipelines and BI dashboards to surface KPIs (conversions, occupancy, revenue) for stakeholders. Optimized PostgreSQL queries and indexes to improve response times and reduce costs. Established engineering practices (Git workflow, code reviews) and mentored a distributed team. Led a distributed team of three engineers; coordinated delivery, stakeholder alignment, and Agile ceremonies.