Fadi A
@fadia
Senior Data Engineer specializing in scalable data pipelines, cloud infrastructure, and data quality.
What I'm looking for
I am a results-driven Senior Data Engineer with 7+ years building enterprise-scale data solutions across fintech, healthcare, e-commerce, and SaaS. I design and deploy robust ETL/ELT and streaming pipelines (Airflow, dbt, Spark, Kafka) that process tens of millions of events daily while improving data quality and reducing costs.
I champion Infrastructure as Code, CI/CD, and data governance, and have led migrations to cloud platforms (AWS, GCP, Azure), implemented data mesh and feature stores, and delivered monitoring and automated testing frameworks that enable reliable analytics, ML, and self-service for stakeholders.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Weston Chase
Jun 2022 - Present (3 years 6 months)
Architected and deployed end-to-end data pipelines processing 50M+ daily events using Airflow, Spark, and Kafka; migrated ETL to dbt and Snowflake reducing transformation time by 60% and improving data quality from 87% to 98%.
Data Engineer II
Alphabridge
Mar 2020 - May 2022 (2 years 2 months)
Engineered and maintained 40+ data pipelines using Airflow and cloud services; built serverless processing to cut infrastructure costs by 35% and deployed dbt models creating 100+ analytics-ready tables.
Data Engineer
Siemens
Aug 2018 - Feb 2020 (1 year 6 months)
Constructed scalable ingestion pipelines with Apache Beam processing 2TB+ daily and orchestrated Airflow ETL from 20+ sources, reducing data incidents by 80% and improving report speed 5x.
Junior Data Engineer
Collabera
Jan 2017 - Jul 2018 (1 year 6 months)
Authored Python extraction scripts and assisted in ETL pipeline construction, automating data collection and implementing validation tests to ensure staging and production data accuracy.
Education
Degrees, certifications, and relevant coursework
Unknown
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science degree completed (institution and years not provided).
Tech stack
Software and tools used professionally
Airbyte
Fivetran
Splunk
Apache Spark
AWS Glue
Apache Flink
Talend
Blockchain
Superset
Metabase
GitHub
GitLab
Kubernetes
Jenkins
CircleCI
GitHub Actions
GitLab CI
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Gmail
Django
Databricks
Redis
Terraform
Pulumi
Java
TensorFlow
MLflow
scikit-learn
Kafka
RabbitMQ
Apache NiFi
FastAPI
PagerDuty
Grafana
Prometheus
Datadog
GraphQL
gRPC
Elasticsearch
Ansible
AWS Lambda
Serverless
pytest
Airflow
Apache Beam
Apache Oozie
Time Analytics
s3-lambda
Luigi
SQL
Dagster
LangChain
Great Expectations
dbt Cloud
Bash
Availability
Location
Authorized to work in
Job categories
Skills
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