Data Engineer Senior

Raza Ash

Senior Data Engineer Cloud & SaaS Data Platforms Healthcare & Enterprise

Analytics

*************@*****.*** 614-***-**** Addison, TX, 75001 Professional Summary

Senior Data Engineer with 10+ years of experience designing, building, and optimizing cloud-native, scalable, and secure data ecosystems across healthcare, SaaS, and enterprise platforms. Specialized in real-time data pipelines, advanced analytics, and ML/AI-driven workflows that enable organizations to extract actionable insights and accelerate business growth. Trusted partner to executives, product teams, and compliance officers for HIPAA, SOC 2, and GDPR-compliant data strategies. Adept in AWS, Azure, GCP, Databricks, Snowflake, Spark, Kafka, Airflow, and modern orchestration tools. Known for bridging business and engineering to deliver solutions that reduce costs, boost performance, and unlock multimillion-dollar growth opportunities. Skills

Cloud & Data Platforms

AWS (S3, Redshift, Glue, EMR), Azure (Synapse, Data Factory), GCP (BigQuery, Dataflow), Snowflake,

Databricks, Cloudera, Teradata

ETL & Data Integration

Apache Airflow, Apache NiFi, dbt, Talend, Informatica, SSIS, Luigi, Matillion

Programming & Scripting

Python, Scala, Java, SQL, R, Shell, Go

Visualization & BI

Power BI, Tableau, Looker, Superset, Mode Analytics, QuickSight

Collaboration & Leadership

Cross-functional collaboration with product,

compliance, and security teams

Agile & Leadership

Scrum, Kanban, JIRA, Confluence, Stakeholder

Engagement, Mentorship

Streaming Analytics

Building low-latency pipelines with Kafka/Flink for fraud detection, IoT, and real-time SaaS product

insights

Big Data & Processing

Apache Spark, Kafka, Flink, Storm, Hadoop, Beam, Hive, Presto, Trino, Delta Lake

Databases & Storage

PostgreSQL, MySQL, SQL Server, Oracle, MongoDB,

Cassandra, DynamoDB, Redis, CosmosDB

Data Modeling & Architecture

Star/Snowflake schemas, Data Vault, Kimball & Inmon, Lakehouse Architectures

DevOps & Automation

Terraform, Kubernetes, Docker, Jenkins, GitHub

Actions, CI/CD pipelines, Ansible

Governance & Compliance

HIPAA, SOC 2, GDPR, FHIR/HL7, Data Lineage, Metadata Management, Collibra, Alation

Data Security & Encryption

Implementing IAM, role-based access, and end-to-end encryption to protect sensitive healthcare and SaaS data

Data Observability

Using tools like Monte Carlo, Datadog, and Prometheus to monitor pipeline health and ensure data reliability. Professional Experience

Senior Data Architect, DataBridge Solutions

•Designed and scaled enterprise data platforms across AWS, Azure, and GCP to support analytics, AI, and real-time decision-making.

01/2022 – Present

•Led cloud migration and data modernization initiatives, improving performance while reducing infrastructure costs by 30–40%.

•Partnered with executives, engineering, and compliance teams to align data strategies with organizational goals.

•Ensured HIPAA, SOC 2, and GDPR compliance by implementing secure, auditable, and privacy-first architectures.

•Developed data governance frameworks including lineage, metadata management, and quality validation.

•Guided cross-functional teams in adopting reusable frameworks, IaC, and automation to accelerate delivery.

•Established observability practices using Prometheus, Datadog, and OpenTelemetry to monitor platform health.

•Advised leadership on future-proofing architectures to support AI/ML, IoT, and advanced analytics at scale.

Data Platform Architect, Enigma Technologies

•Architected modern lakehouse and warehouse ecosystems using Snowflake, Databricks, Redshift, and BigQuery.

10/2019 – 12/2021

•Built scalable, real-time ingestion pipelines with Kafka, Flink, Spark Streaming, and Debezium (CDC).

•Designed governance, lineage, and cataloging frameworks to ensure data reliability and compliance.

•Developed observability and monitoring layers that reduced troubleshooting time by 40%.

•Unified data engineering, DevOps, and ML workflows into end-to-end automated platforms.

•Optimized query performance and cloud spend through storage tiering, caching, and workload management.

•Enabled cross-domain analytics by implementing schema contracts, APIs, and version- controlled ingestion pipelines.

•Delivered reusable, modular frameworks that reduced onboarding time for new pipelines and teams by 60%.

AI/ML Data Engineer, NextGen BI Consulting

•Built and deployed real-time and batch ML pipelines on Amazon Web Services, Google Cloud Platform, and Microsoft Azure.

•Automated feature engineering, training, and monitoring using MLflow, Kubeflow, Vertex AI, and Amazon SageMaker.

01/2017 – 10/2019

•Integrated CI/CD pipelines, cutting ML model deployment cycles from months to weeks.

•Implemented drift detection, A/B testing, and MLOps best practices to ensure reliable, reproducible models.

•Partnered with data scientists to productionize research models and deliver AI-driven solutions, improving patient risk scoring, churn prediction, and revenue forecasting. Junior Data Engineer, TechNova Analytics

•Built lightweight Python pipelines for marketing analytics for SMB clients.

•Orchestrated DAGs using Airflow and scheduled batch jobs on AWS Glue. 01/2014 – 12/2016

•Maintained early Redshift warehouse setups with table optimizations and dist/sort key strategies.

•Created metadata-driven ingestion templates, reducing onboarding time for new clients.

•Wrote internal tooling to convert ad-hoc SQL into reusable dbt models. Certificates

AWS Certified Solutions Architect

Databricks Certified Data

Engineer

Azure Solutions Architect Expert

Cloudera CCP Data Engineer

Google Cloud Professional Data

Engineer

Education

Bachelor of Science in Computer Science

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