Meet Nasser Dahouar
Collects, Organizes and Studies Data to Provide Business Insight
Nasser Dahouar is a data analytics engineer, involved in the process of examining, cleaning, transforming, and interpreting data to uncover valuable insights and help organizations make informed decisions.
Biography:
As a Data Analytics Engineer, Nasser Dahouar, involves a mix of data engineering, analytics, and business intelligence to help organizations make data-driven decisions. Here’s a breakdown of what you might be doing:
1. Data Pipeline Development
Designing and building ETL/ELT pipelines to collect, clean, and transform raw data into usable formats.
Using tools like Apache Airflow, Spark, Kafka, or cloud-based solutions (AWS Glue, GCP Dataflow, Azure Data Factory).
Ensuring data reliability, scalability, and efficiency in data processing.
2. Data Warehousing & Storage
Structuring data in SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake, Redshift).
Optimizing data models for analytics and reporting.
Implementing data lakes or lakehouses for unstructured/semi-structured data.
3. Analytics & Business Intelligence
Developing dashboards & reports (Power BI, Tableau, Looker, Metabase) to visualize insights.
Writing SQL queries and Python/R scripts for advanced analytics.
Performing statistical analysis, A/B testing, or predictive modeling (if overlapping with data science).
4. Data Governance & Quality
Ensuring data accuracy, consistency, and security (data validation, anomaly detection).
Implementing data governance policies (access control, compliance with GDPR/CCPA).
Monitoring data pipelines for failures and optimizing performance.
5. Collaboration & Stakeholder Support
Working with data scientists, analysts, and business teams to understand requirements.
Translating business needs into technical solutions.
Automating reports and enabling self-service analytics for non-technical users.
Tools & Technologies i Might Use:
Languages: SQL, Python, PySpark, R
Big Data: Hadoop, Spark, Kafka
Cloud Platforms: AWS, GCP, Azure
BI Tools: Power BI, Tableau, Looker
Workflow Orchestration: Airflow, Luigi, Prefect
Why My Role Matters:
I bridge the gap between raw data and actionable insights, ensuring that data is accessible, reliable, and meaningful for decision-makers.
