Data Analyst | Data Engineer | MIS & Institutional Data Specialist
Job Details
PROFESSIONAL SUMMARY
Data professional with 2+ years of hands-on experience in data engineering and analytics (Python, SQL, Apache Airflow, ETL
pipelines), combined with 12+ years managing institutional data operations at scale for a university serving 15,000+ applicants and
6,000+ students. Automated legacy Excel-based reporting workflows to cut turnaround time by 95% and built ETL pipelines
processing 1M+ rows of daily data.
TECHNICAL SKILLS
Data Engineering: ETL/ELT Pipelines, Data Warehousing, Apache Airflow, Snowflake, Data Governance & Quality
Languages & Tools: Python (Pandas, NumPy), SQL, PostgreSQL, Docker, Git/GitHub, Advanced Excel
Cloud & Analytics: AWS, GCP, Tableau, Power BI, Dashboard Development, Statistical Analysis
Domain Expertise: MIS / Student Information Systems, Institutional Reporting & Compliance, Academic Data Operations
Data professional with 2+ years of hands-on experience in data engineering and analytics (Python, SQL, Apache Airflow, ETL
pipelines), combined with 12+ years managing institutional data operations at scale for a university serving 15,000+ applicants and
6,000+ students. Automated legacy Excel-based reporting workflows to cut turnaround time by 95% and built ETL pipelines
processing 1M+ rows of daily data.
TECHNICAL SKILLS
Data Engineering: ETL/ELT Pipelines, Data Warehousing, Apache Airflow, Snowflake, Data Governance & Quality
Languages & Tools: Python (Pandas, NumPy), SQL, PostgreSQL, Docker, Git/GitHub, Advanced Excel
Cloud & Analytics: AWS, GCP, Tableau, Power BI, Dashboard Development, Statistical Analysis
Domain Expertise: MIS / Student Information Systems, Institutional Reporting & Compliance, Academic Data Operations
Languages
Any
Nationality
Any
Location
Al Nahda (Dubai), Dubai, UAE
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