A

Ava Alam

About

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Flint, Michigan, United States

Timeline

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Résumé

Jobs verified_user 0% verified
  • Census
    Senior Data Architect
    Census
    Oct 2023 - Current (3 years 1 month)
    • Architected enterprise-scale Data Lakehouse platforms using AWS, Delta Lake, Snowflake, and Redshift to support advanced analytics, AI, and machine learning workloads across multiple business domains.
    • Designed and implemented high-throughput, event-driven architectures using Kafka and Spark Streaming to enable near real-time analytics, operational intelligence, and scalable data processing.
    • Built Reverse ETL pipelines integrating Snowflake with Salesforce, HubSpot, and operational systems to enable seamless data activation and business process automation.
    • Led multi-cloud data architecture strategy across AWS, Azure, and GCP, ensuring scalability, security, compliance, and alignment with enterprise data governance fram
  • R
    Senior Data Engineer
    Red Hawk Tech
    May 2019 - Sep 2023 (4 years 5 months)
    • Led large-scale data migration from on-prem Hadoop/HDFS to AWS EMR and Snowflake, enabling scalable, high-performance analytics infrastructure across enterprise workloads.
    • Architected and implemented high-throughput batch and streaming data pipelines using PySpark, Kafka, and AWS Kinesis to support real-time and batch processing at scale.
    • Designed cloud-native data architectures and modernized legacy ETL systems into containerized microservices using Docker and Kubernetes, improving deployment agility and system scalability.
    • Implemented enterprise-grade data quality frameworks using Great Expectations, improving data reliability and reducing production data incidents.
    • Built and optimized Airflow-based orchestra
  • P
    Data Engineer & Data Analyst
    Pandata LLC
    Nov 2015 - Apr 2019 (3 years 6 months)
    • Automated manual data ingestion and integration workflows using Python, AWS Glue, and shell scripting to improve data processing efficiency and reliability.
    • Designed scalable dimensional data models and cloud-based data warehouse architectures to support enterprise reporting and analytics workloads.
    • Developed and maintained API integrations and custom data connectors for third-party applications and CRM systems.
    • Built executive dashboards and BI solutions using Tableau, Power BI, and SQL, enabling data-driven decision-making across business functions.
    • Led migration of critical business data from on-premise systems to Amazon S3 with zero downtime and improved data accessibility.
    • Implemented data validatio
Education verified_user 0% verified
  • B
    Bachelor of Science in Computer Science
    Feb 2012 - Oct 2015 (3 years 9 months)
Projects (professional or personal) verified_user 0% verified
  • Internal
    Real-Time Customer Analytics Platform
    Internal
    - Expanded a real-time streaming platform capable of processing millions of events daily for operational and customer analytics.
    - Built event-driven pipelines using Kafka and Spark Streaming to deliver near real-time insights to business stakeholders.
    - Initiated optimized analytical data models and dashboards for executive reporting.
    - Apache Kafka, Spark Streaming, Python, AWS Kinesis, Snowflake, Tableau, Power BI.
  • Internal
    Data Governance & Metadata Platform
    Internal
    - Executed enterprise wide metadata management and data discovery solutions to improve data accessibility and compliance.
    - Organized lineage tracking, data cataloging, and quality validation across critical business datasets.
    - Enabled self service analytics through centralized governance and documentation frameworks.
    - DataHub, Amundsen, OpenLineage, dbt, AWS Glue Data Catalog, SQL.
  • Internal
    Enterprise Data Lakehouse Modernization
    Internal
    - Designed and utilized a cloud-native Data Lakehouse architecture by migrating legacy Hadoop workloads to AWS S3, Snowflake, and Apache Spark.
    - Built scalable ETL/ELT pipelines using PySpark and Airflow, reducing data processing time and improving analytics performance.
    - Applied data quality monitoring, lineage tracking, and governance controls using Great Expectations and OpenLineage.
    - AWS S3, Snowflake, PySpark, Airflow, dbt, Great Expectations, OpenLineage, Terraform.
  • Internal
    MLOps & AI Data Platform
    Internal
    - Engineered end-to-end machine learning data pipelines supporting feature engineering, model training, and automated deployment.
    - Developed scalable batch and real-time inference workflows with monitoring and model performance tracking.
    - Integrated vector search capabilities to support Generative AI and intelligent search use cases.
    - Amazon SageMaker, MLflow, Kubeflow, Python, LangChain, Pinecone, AWS Lambda.
  • Internal
    Cloud Cost Optimization & FinOps Framework
    Internal
    - Built mechanized monitoring and reporting solutions to analyze cloud resource utilization and spending patterns.
    - Enforced cost allocation, resource tagging, and optimization recommendations that improved infrastructure efficiency.
    - Enhanced executive dashboards for cloud governance and budget forecasting.
    - AWS Cost Explorer, Kubecost, CloudWatch, Datadog, Grafana, Terraform.