Haris B.

I build cloud-native data platforms at scale. Lakehouses, streaming systems, AI infrastructure. My clients are companies where bad data or downtime isn't an option. I have 6 years of experience designing and delivering greenfield data architectures for Fortune 100 enterprises across fintech, healthcare, and identity management. Most recently, I migrated a fintech platform off a single monolithic server onto a distributed lakehouse on AWS with Spark, Airflow, and Apache Iceberg. That cut pipeline runtimes by 50% and infrastructure costs by 40%. Here's what I work with: Lakehouse & batch: Spark, PySpark, Databricks, Iceberg, Hudi, Trino, Airflow Streaming & CDC: Kafka, Debezium, ksqlDB, Spark Structured Streaming, ClickHouse Cloud: AWS (EKS, EMR, Glue, Lambda, SageMaker), Azure (AKS, Databricks, AI Foundry) Infrastructure: Kubernetes, Terraform, Helm, Docker, GitHub Actions CI/CD Governance: Apache Ranger, RBAC, row-level security, HIPAA/GDPR/SOC 2 AI/ML infra: RAG pipelines, vector databases (Pinecone), LLM-backed applications I've contributed to open-source projects like Debezium (Red Hat's CDC platform) and Mage.ai. I work independently, communicate proactively, and I'm used to collaborating remotely across US, EU, and Middle East time zones. If you need someone who can own the architecture end to end, not just write pipelines, let's talk.