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Aleembajwa
@aleembajwa
Data Engineer, Python ETL, PostgreSQL, Power BI
Pakistan
Englisch, Urdu, Punjabi
Über mich
Expert Data Engineer: ETL pipelines, database architecture, and business intelligence. I build scalable data systems that process millions of records efficiently. Python ETL development, PostgreSQL database design, Power BI dashboards, and API development. React, Next.js, HTML/CSS for web projects. Optimized data processing by 60%, managed 1.5M+ records, 99.7% data accuracy. Experience with World Bank, UN agencies, and government organizations. I deliver scalable solutions with clear communication and on-time delivery.
Kompetenzen
Aleembajwa
offline •
Durchschnittliche Antwortzeit: 10 Stunden
Meine Dienstleistungen
Statistische Modellierung & Analyse
I will do statistical data analysis using r python spss stata excel
Daten-ETLs
I will build python etl pipelines for your data
Portfolio
Arbeitserfahrung
Deputy Director Planning
Punjab Social Protection Authority (PSPA) • Vollzeit
Sep 2024 - Present • 1 yr 8 mos
Lead data-driven planning and budgeting for Punjab's largest social protection programs. Develop Annual Work Plans using multi-source data from PMUs, government agencies, and international partners. Consolidate and analyze data from capital investment projects for World Bank and government reporting. Ensure data integrity and compliance with donor standards. Coordinate data flows across 10+ project units for unified reporting. Use Excel and dashboards for resource allocation and performance tracking. Experience with large-scale program data and international development reporting requirements.
Business Operations Manager
VTT Global Strategy & Management Consultants • Vollzeit
Nov 2020 - Jun 2024 • 3 yrs 7 mos
Led M&E and data analysis for programs impacting 500,000+ beneficiaries. Managed World Bank EGRA Baseline Survey: 7,248 students across 604 schools, 99.5% data completion rate. Designed survey instruments, oversaw data collection, and delivered statistical analysis and reports. Led NAVTTC Tracer Studies with 25 field researchers—data validation, cleaning, and analysis. Built dashboards for real-time monitoring. Used Excel, SPSS, and Python for descriptive stats, regression, and hypothesis testing. Delivered reports for World Bank, UNHCR, USAID, and DFID. Strong experience with survey data, baseline studies, and publication-ready analysis.
Project Implementation Lead
Center for Economic Research in Pakistan (CERP) • Teilzeit
Oct 2022 - Jan 2023 • 3 mos
Led data operations for a large-scale Randomized Controlled Trial (RCT) covering 350,000+ students across 1,250 schools. Ensured rigorous data collection, validation, and analysis for treatment vs. control groups. Managed 50+ field staff and 145 Master Trainers on data protocols. Worked with research datasets requiring statistical rigor—descriptive statistics, regression, and impact evaluation. Experience with econometric methods, panel data, and research-grade analysis. Delivered data for academic and policy use. Strong foundation in R, STATA, and survey-based research analysis.
