Abeed Ben
@abeedben
Senior data leader delivering scalable data platforms, MLops, and analytics solutions.
What I'm looking for
I am a versatile senior data leader with 13+ years delivering end-to-end data engineering, architecture, and data science solutions across healthcare, finance, retail, and industrial sectors.
I design and implement cloud-native data platforms and scalable ETL/ELT pipelines using AWS, Azure, and GCP technologies, and I build real-time analytics and event-streaming solutions with Kafka and Spark.
I have led MLOps and analytics programs—creating model training, deployment, monitoring, and CI/CD automation with tools like Kubeflow, MLflow, SageMaker, and Airflow—while mentoring teams on best practices and governance.
I focus on driving data quality, compliance (GDPR, HIPAA), and business impact through predictive and prescriptive analytics, interactive BI dashboards, and embedding analytics into enterprise workflows to enable data-driven decisions at scale.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Tredence Inc.
May 2024 - Present (1 year 6 months)
Designed and deployed cloud-native, end-to-end data pipelines and platforms across AWS, GCP, and Azure, enabling real-time and batch analytics and improving data accessibility for cross-functional teams.
Data Scientist & Analytics Lead
MathCo
Sep 2020 - Apr 2024 (3 years 7 months)
Developed ML models and recommendation engines and led analytics delivery across cloud environments, embedding predictive insights into business processes and mentoring junior team members.
Data Engineer & MLOps Specialist
Sisense
Jan 2019 - Aug 2020 (1 year 7 months)
Built and maintained MLOps pipelines and large-scale data processing solutions using Databricks, Spark, and Azure ML, and implemented governance, lineage, and CI/CD for ML deployments.
Data Analyst & BI Developer
Cribl.io
Mar 2012 - Dec 2018 (6 years 9 months)
Developed ETL pipelines, BI reporting systems, and dashboards while performing data cleansing, transformation, and statistical analysis to support product, marketing, and engineering teams.
Education
Degrees, certifications, and relevant coursework
University of Michigan
Bachelor of Science, Computer Science
Completed a Bachelor in Computer Sciences focusing on foundational computer science principles and practical engineering skills.
Tech stack
Software and tools used professionally
Fivetran
Apache Spark
AWS Glue
Talend
Data Studio
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Dask
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
HBase
Gmail
Databricks
Redis
Terraform
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
NLTK
Kafka
GraphQL
pytest
Airflow
Time Analytics
SQL
XGBoost
Hugging Face
LightGBM
Sisense
Availability
Location
Authorized to work in
Job categories
Skills
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