Open to opportunities

Mo Adams

@moadams

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Experienced Data Engineer with expertise in cloud-native data solutions.

United States

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What I'm looking for

I am looking for a role that fosters collaboration, 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 enabled me to deliver reliable and efficient data solutions aligned with enterprise goals.

Throughout my career, I have successfully designed and implemented ETL pipelines that process vast amounts of data daily, built real-time streaming applications for critical systems, and enforced data quality and compliance across various standards. My collaborative approach and strategic mindset allow me to work effectively with cross-functional teams, ensuring that data solutions not only meet technical requirements but also drive business value.

Experience

Work history, roles, and key accomplishments

Current

Data Architect

Current

Cigna

Mar 2021 - Present (4 years 4 months)

Designed and implemented robust ETL/ELT pipelines using Apache Airflow, AWS Glue, and dbt, processing over 5TB of data daily. Built real-time streaming applications with Apache Kafka, Kinesis, and Spark Structured Streaming for fraud detection systems, reducing incident response time by 60%.

Apache Airflow AWS Glue DBT Apache Kafka Kinesis Spark Structured Streaming Amazon Redshift Snowflake Great Expectations Python Terraform Docker Kubernetes GitHub Actions Datadog)AWS Cloudwatch 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, enabling unified access to patient and operational data. Built high-throughput pipelines using Apache Flink, Kafka Streams, and Pub/Sub, reducing batch latency and supporting near-real-time patient alerting.

Azure Synapse Data Factory GCP Big Query Dataflow Apache Flink Kafka Streams Pub Sub DBT Docker Kubernetes Terraform Faiss IAM KMS Grafana Splunk Monte Carlo

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, leveraging tools like Talend, Informatica, Airflow, and Matillion. Orchestrated multi-source data integration projects with Delta Lake, Apache Hudi, and Iceberg on EMR and Databricks, supporting enterprise data lakes.

Talend Informatica Airflow Matillion Delta Lake Hudi Iceberg IAM Jenkins Azure DevOps Ansible Terraform Helm Athena Lake Formation

Education

Degrees, certifications, and relevant coursework

New York University

Bachelor of Computer Science, Computer Science

Studied computer science fundamentals, including data structures, algorithms, and software development. Gained expertise in various programming languages and computational theories.