Faran K

I am a results-driven Senior Data Engineer with extensive experience designing and implementing modern data platforms that support large-scale analytics, reporting, and real-time business intelligence. Throughout my career, I have worked across cloud ecosystems including AWS, Azure, and GCP, delivering scalable ETL/ELT pipelines, streaming architectures, and lakehouse solutions for enterprise environments.

At Futran Solutions, I architected enterprise-scale data platforms using Microsoft Fabric, Databricks, PySpark, and Snowflake, processing billions of daily events with highly reliable pipelines and 99.9% uptime SLAs. I also implemented Kafka-based streaming solutions that reduced pipeline latency by 35% and optimized infrastructure costs by 40% through intelligent workload tuning and partitioning strategies.

Previously, at DMI, I developed scalable ELT frameworks using EMR, Airflow, and Snowflake, implemented CDC pipelines, and designed dimensional data models that significantly improved BI query performance. At RemoteReps, I built Azure and GCP-based ingestion and transformation pipelines, implemented governance and validation frameworks, and created operational dashboards that improved business visibility and reporting accuracy.

My technical expertise includes Python, SQL, PySpark, Snowflake, Apache Kafka, Airflow, Databricks, Terraform, Kubernetes, CI/CD automation, data governance, and observability tools such as Grafana, Prometheus, and Datadog. I enjoy solving complex data engineering challenges, building reliable distributed systems, and enabling organizations to make data-driven decisions through scalable and high-quality data solutions.

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