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Ava User

@avauser2

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Senior Data Architect delivering scalable cloud data platforms and lakehouse solutions.

United States

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What I'm looking for

I’m looking to lead enterprise, cloud-native data platforms—lakehouse + streaming + governance—using modern engineering practices, strong observability, and FinOps. I want to modernize legacy systems and deliver reliable analytics and AI/ML-ready data pipelines.

I’m a Senior Data Engineer & Solutions Architect with 10+ years of experience designing and delivering scalable, cloud-native data platforms across AWS, Azure, and GCP. I build modern Data Lakehouse architectures, real-time streaming systems, and end-to-end ETL/ELT pipelines that power analytics, BI, and AI/ML workloads.

In my current role, I architect enterprise-scale lakehouse platforms, event-driven architectures with Kafka and Spark Streaming, and secure reverse ETL integrations to activate data across business systems. I also lead governance and metadata frameworks using dbt, OpenLineage, and Amundsen, and I drive cloud cost optimization through FinOps practices—while mentoring teams to modernize legacy ecosystems into reliable, automated pipelines.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Architect

Current

Census

Oct 2023 - Present (2 years 11 months)

Architected enterprise-scale Data Lakehouse platforms using AWS, Delta Lake, Snowflake, and Redshift for analytics, AI, and machine learning workloads. Designed event-driven architectures with Kafka and Spark Streaming, reverse ETL integrations, and enterprise governance/metadata frameworks using dbt, OpenLineage, and Amundsen, while leading FinOps cost optimization and secure access controls.

Senior Data Engineer

RedHawkTech

May 2019 - Sep 2023 (4 years 4 months)

Led large-scale migration from on-prem Hadoop/HDFS to AWS EMR and Snowflake, and built high-throughput batch and streaming pipelines using PySpark, Kafka, and AWS Kinesis. Implemented data quality frameworks with Great Expectations, Airflow-based orchestration, serverless event-driven processing with Lambda/SNS/SQS, and ML pipelines with Amazon SageMaker while driving reliability and FinOps cost o

Data Engineer & Data Analyst

PandataLLC

Nov 2015 - Apr 2019 (3 years 5 months)

Automated data ingestion and integration workflows using Python, AWS Glue, and shell scripting, and built dimensional models and cloud data warehouse architectures for reporting and analytics. Developed API integrations and CRM connectors, created Tableau/Power BI dashboards, migrated data to Amazon S3 with zero downtime, and implemented ETL validation/monitoring and data marts to support self-ser

S3 Python AWS Glue Shell Scripting Dimensional Models API Integration SQL Tableau Power BI Data Migration Data Validation Data monitoring ETL Technical Documentation ETL Runbooks Data Marts Data Quality Data Warehouse

Data Engineer & Data Analyst

Pandata LLC

Nov 2015 - Apr 2019 (3 years 5 months)

Automated data ingestion and integration workflows using Python, AWS Glue, and shell scripting. Designed dimensional data models and built BI solutions with Tableau and Power BI.