Hebatallah Mohamed

Data Analytics Engineer

An interactive overview of my professional experience, showcasing expertise in data architecture, BI solutions, and transforming complex data into actionable business insights.

2+

Years of Experience

SQL

Expert-Level Proficiency

dbt

Data Modeling Specialist

Core Competencies

My skill set spans the entire data lifecycle, from architecture and pipeline development to visualization and governance, ensuring a holistic approach to data analytics.

Advanced SQL

Looker & LookML

dbt (Data Build Tool)

Data Governance

Data Pipeline Design

Python Programming

Google Cloud Platform

Stakeholder Collaboration

Professional Journey

Recursion

Data Analytics Engineer & Scientist

May 2023 - Present

Designed and maintained robust dbt data models, optimized large-scale SQL queries, and contributed to production data pipelines using a modern data stack (dbt, Codefresh, LookML). Championed data governance and documentation using Atlan.

Cyclica

Junior Drug Discovery Scientist

Aug 2022 - May 2023

Leveraged data analysis to support drug discovery projects, leading research efforts that required extensive data interpretation and problem-solving in a fast-paced scientific environment.

McMaster University

Master's Student, Mentor & TA

Sep 2019 - Dec 2021

Conducted research in computational chemistry and computer-aided drug design. Developed strong analytical skills while mentoring students and leading lab sessions, effectively communicating complex topics.

Role Focus at Recursion

This chart illustrates the primary allocation of my efforts as a Data Analytics Engineer, with a significant emphasis on data modeling, pipeline development, and an increased focus on BI & Visualization to drive actionable insights.

Technical Skill Domains

My capabilities are balanced across the full spectrum of data analytics. This visualization shows my proficiency in backend architecture, data transformation, BI, programming, and strategic collaboration.

End-to-End Data Workflow

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1. Ingestion

Load raw data from various sources into a data lake (e.g., GCS, Snowflake).

2. Transformation

Model and transform data with dbt in a warehouse like BigQuery.

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3. Visualization

Build LookML models in Looker for dashboards and analysis.

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4. Governance

Document assets, lineage, and quality in a catalog like Atlan.