Open to opportunities

Ronnnie K

@ronnniek

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Experienced Data Engineer with a focus on scalable data solutions.

United States

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth, where I can leverage my data engineering skills to drive impactful solutions.

I am an experienced and versatile Data Engineer with over 10 years of expertise in building scalable, cloud-native data solutions across AWS, Azure, and GCP. My proficiency in developing robust ETL/ELT pipelines, real-time streaming systems, and modern data architectures has allowed me to deliver reliable, secure, and efficient data solutions aligned with enterprise goals.

Throughout my career, I have successfully designed and implemented data architectures that process vast amounts of data daily, utilizing technologies such as Apache Spark, Kafka, and Airflow. My strong background in MLOps and AI-powered analytics enables me to integrate advanced machine learning capabilities into data workflows, ensuring high data quality and compliance with industry standards like GDPR and HIPAA.

Experience

Work history, roles, and key accomplishments

Current

Data Architect

Current

Cigna

Mar 2021 - Present (4 years 6 months)

Designed and implemented robust ETL/ELT pipelines using Apache Airflow, AWS Glue, and dbt, processing over 5TB of data daily into Amazon Redshift and Snowflake. Built real-time streaming applications for fraud detection and integrated MLOps pipelines with Vertex AI, AWS Lambda, and Pinecone.

Apache Airflow AWS Glue DBT Amazon Redshift Snowflake Apache Kafka Kinesis Python Vertex AI AWS Lambda Pinecone Terraform Docker Kubernetes GitHub Actions Datadog ELK Prometheus

Lead Data Engineer

DataNova Solutions

Jun 2017 - Feb 2021 (3 years 8 months)

Architected hybrid cloud data platforms using Azure Synapse, Data Factory, and GCP BigQuery/Dataflow, building high-throughput pipelines with Apache Flink, Kafka Streams, and Pub/Sub. Developed data models and implemented dbt transformations for BI reporting, while also implementing data quality frameworks with dbt tests and Great Expectations.

Azure Synapse Data Factory GCP Big Query Dataflow Apache Flink Kafka Streams Pub Sub DBT Great Expectations Docker Kubernetes Terraform MLOps IAM KMS Grafana Splunk

Data Engineer

InnovateX Labs

Aug 2014 - May 2017 (2 years 9 months)

Delivered large-scale ETL and CDC pipelines across AWS, Azure, and GCP ecosystems, orchestrating multi-source data integration projects with Delta Lake, Apache Hudi, and Iceberg. Built resilient real-time data ingestion services and spearheaded security initiatives using IAM, VPCs, and encryption.