Faaza N

Data Engineer

https://talent.gravityer.com/faaza-n

Data Engineer with 2+ years in Data Engineering & Business Intelligence

Key Strengths

Strong experience in data pipeline development and ETL processes, demonstrated by managing workflows for 345GB+ datasets and achieving 99% ETL reliability.
Proficiency in SQL, Python, and various BI tools (Looker Studio, Tableau, Pentaho, Prefect, DBT) for data manipulation, analysis, and visualization.
Proven ability to automate reporting and data processes, significantly reducing manual effort (up to 95%) and improving reporting speed.
Experience in developing real-time monitoring dashboards and performance dashboards for various business metrics.
Practical experience in machine learning for predictive modeling (e.g., fraud detection, customer subscription forecasting) with quantifiable results.
Strong analytical skills, including identifying key fraud signals using SHAP and EDA, and applying frameworks like SCQA for marketing analysis.
Certifications in Data Science & Machine Learning and Data Engineering indicate a proactive approach to skill development and foundational knowledge.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project diversity, ranging from marketing strategy and fraud analytics to general data engineering, indicates a broad interest and adaptability. Their experience across finance (BRI Insurance) and FMCG (PT Kalbe Nutritionals) sectors suggests an ability to adapt to different industry contexts. The pursuit of multiple certifications and continuous learning aligns well with a culture of growth and development. The focus on delivering actionable insights and reducing manual effort also points to a proactive and value-driven mindset.

Soft Skills & Operational Fit

The candidate demonstrates strong operational fit through their experience in automating workflows, enhancing error handling, and improving data accuracy and efficiency. Their project descriptions highlight problem-solving and a results-oriented approach. Soft skills like Time Management, Orientation to Detail, Adaptability, and Self-Learning Ability are explicitly mentioned, which are crucial for a senior role. The ability to collaborate in cross-functional environments is also noted.

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About

Data & Business Intelligence Developer with experience in finance and FMCG domains, specialising in data engineering and business intelligence. Certified Associate Data Scientist with hands-on experience in end-to-end data pipelines and analytics. Proficient in Python, SQL, Tableau, and tools such as Prefect, Pentaho, Talend, processing >100GB of data and delivering automation solutions that reduced manual effort by up to 95%. Strong collaborator with experience delivering actionable insights in cross-functional environments. Aspiring Data Analyst focused on applying analytical rigor to uncover insights, identify patterns, and support data-driven business and risk decisions.

Top Skills

PythonSQLMs OfficeEtlSSIS

Experience

BRI Insurance

Data & BI Developer

July 1, 2025 – Present

Jakarta, Jakarta, Indonesia

PT Kalbe Nutritionals

Data Engineering

January 1, 2024 – June 1, 2025

Jakarta, Jakarta, Indonesia

PT Qwords International

Internship

July 1, 2023 – December 1, 2023

Jakarta, Jakarta, Indonesia

Projects

Fraud Analytics in E-Wallet Systems: Precision-Driven Analysis of Online Gambling Transactions

July 1, 2025 – July 1, 2025

Built a PU fraud model (Isolation Forest + AdaBoost) achieving 95% F2-score and 9.6% cost reduction. Identified key fraud signals via SHAP and EDA: Withdrawals, E-Money Transfers, High Amounts, Non-Sharia Accounts, and Evening/Weekend Spikes.

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Data-Driven Marketing Strategy with DeX-APP: Forecasting Term Deposit Bank Subscriptions

May 1, 2025 – May 1, 2025

Developed a predictive model with 82% precision to identify high-potential customers. Deployed a Streamlit app that reduced 67% marketing cost by minimizing mis-targeted outreach (false positive).

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Performance Marketing Analysis: Evaluating Strategy Effectiveness Through Targeted Customer and Market-Based Insights Business Analytics

April 1, 2025 – April 1, 2025

Analyzed marketing performance using the SCQA framework, identifying that targeting Pareto customers and top products could outperform broad discount strategies. Proposed a targeted strategy leading to a +29.5% revenue lift and a success rate increase from 7.4% to 12%.

View Project

Certifications

International Program Data Science & Machine Learning

Purwadhika Digital Technology School

February 1, 2025 – Present

Fast Track Data Engineer Scholarship Fellowship 1

Digital Skola

May 1, 2024 – Present

Associate Data Scientist

Badan Nasional Sertifikasi Profesi

May 1, 2024 – Present

Key Strengths

Strong experience in data pipeline development and ETL processes, demonstrated by managing workflows for 345GB+ datasets and achieving 99% ETL reliability.
Proficiency in SQL, Python, and various BI tools (Looker Studio, Tableau, Pentaho, Prefect, DBT) for data manipulation, analysis, and visualization.
Proven ability to automate reporting and data processes, significantly reducing manual effort (up to 95%) and improving reporting speed.
Experience in developing real-time monitoring dashboards and performance dashboards for various business metrics.
Practical experience in machine learning for predictive modeling (e.g., fraud detection, customer subscription forecasting) with quantifiable results.
Strong analytical skills, including identifying key fraud signals using SHAP and EDA, and applying frameworks like SCQA for marketing analysis.
Certifications in Data Science & Machine Learning and Data Engineering indicate a proactive approach to skill development and foundational knowledge.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit