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I’m an Analytics Engineer based in Porac, Pampanga, working across cloud data warehouses, ELT pipelines, and semantic modeling to help teams turn operational data into fast, reliable insights. I build solutions using Python, SQL, Google BigQuery, and Amazon Redshift, and I focus on improving reporting speed, dashboard performance, and data quality. In recent roles, I’ve migrated fragmented datasets into unified star schemas, moved transformation logic upstream to strengthen accuracy, and reduced Power BI refresh times dramatically. I also develop forecasting models with BigQuery ML, create executive and self-service dashboards with Power BI and Looker Studio, and automate recurring reporting workflows so stakeholders can make decisions quickly with confidence.…I’m an Analytics Engineer based in Porac, Pampanga, working across cloud data warehouses, ELT pipelines, and semantic modeling to help teams turn operational data into fast, reliable insights. I build solutions using Python, SQL, Google BigQuery, and Amazon Redshift, and I focus on improving reporting speed, dashboard performance, and data quality. In recent roles, I’ve migrated fragmented datasets into unified star schemas, moved transformation logic upstream to strengthen accuracy, and reduced Power BI refresh times dramatically. I also develop forecasting models with BigQuery ML, create executive and self-service dashboards with Power BI and Looker Studio, and automate recurring reporting workflows so stakeholders can make decisions quickly with confidence.

Christopher Nazareno

Data Analyst, Data Scientist, Data Visualizer, +6

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I’m an Analytics Engineer based in Porac, Pampanga, working across cloud data warehouses, ELT pipelines, and semantic modeling to help teams turn operational data into fast, reliable insights. I build solutions using Python, SQL, Google BigQuery, and Amazon Redshift, and I focus on improving reporting speed, dashboard performance, and data quality. In recent roles, I’ve migrated fragmented datasets into unified star schemas, moved transformation logic upstream to strengthen accuracy, and reduced Power BI refresh times dramatically. I also develop forecasting models with BigQuery ML, create executive and self-service dashboards with Power BI and Looker Studio, and automate recurring reporting workflows so stakeholders can make decisions quickly with confidence.…I’m an Analytics Engineer based in Porac, Pampanga, working across cloud data warehouses, ELT pipelines, and semantic modeling to help teams turn operational data into fast, reliable insights. I build solutions using Python, SQL, Google BigQuery, and Amazon Redshift, and I focus on improving reporting speed, dashboard performance, and data quality. In recent roles, I’ve migrated fragmented datasets into unified star schemas, moved transformation logic upstream to strengthen accuracy, and reduced Power BI refresh times dramatically. I also develop forecasting models with BigQuery ML, create executive and self-service dashboards with Power BI and Looker Studio, and automate recurring reporting workflows so stakeholders can make decisions quickly with confidence.

Available to hire

I’m an Analytics Engineer based in Porac, Pampanga, working across cloud data warehouses, ELT pipelines, and semantic modeling to help teams turn operational data into fast, reliable insights. I build solutions using Python, SQL, Google BigQuery, and Amazon Redshift, and I focus on improving reporting speed, dashboard performance, and data quality.

In recent roles, I’ve migrated fragmented datasets into unified star schemas, moved transformation logic upstream to strengthen accuracy, and reduced Power BI refresh times dramatically. I also develop forecasting models with BigQuery ML, create executive and self-service dashboards with Power BI and Looker Studio, and automate recurring reporting workflows so stakeholders can make decisions quickly with confidence.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Business Insight s Analyst at TaskUs

February 1, 2026 - Present

Partnered with data engineering and business stakeholders to deliver enterprise reporting solutions. Migrated fragmented datasets into a unified star schema and improved data transformation by moving logic upstream into Amazon Redshift. Reduced Power BI refresh times by approximately 85–90% and decreased PBIX size by about 50%. Designed and maintained executive dashboards and enabled self-service reporting through reliable semantic structures.

Business Insights Analyst at TaskUs

February 1, 2026 - Present

Leading coordination with Data Engineering teams and client POCs for data access resolution and requirements definition; designing and developing Power BI dashboards; supporting dashboard maintenance and ad-hoc reporting requests.

Analytics Engineer (Contract) at Greenkey

August 1, 2025 - March 1, 2026

Designed and built a BigQuery data warehouse integrating multiple systems; developed Python-based ELT pipelines for API and file ingestion; transformed raw data into analytics-ready datasets and structured models; implemented incremental loading strategies.

Senior Operations Analyst at Connext

November 2, 2024 - November 9, 2025

Unified 7 siloed Power BI dashboards into an integrated MySQL-backed system, establishing a single source of truth for workforce analytics across 1500+ team members. Cut manager reporting time by 90% (4 hours to 15 minutes) by automating KPI compilation through DAX measures and scheduled refresh workflows. Trained 8 operations staff on Power Query and Power BI fundamentals, reducing ad-hoc report requests by 40% and enabling self-service analytics. Designed a reusable Power BI template with standardized UX/UI, deployed across 80% of operational reports to ensure consistency and reduce build time.

Operations Analyst at Connext

November 1, 2024 - November 1, 2024

Built Power Query ETL pipeline consolidating Excel/CSV files from folders into a single-refresh Excel Report and Power BI Dashboard, cutting hours of weekly manual reporting to minutes. Reduced unplanned schedule gaps by 20% through real-time Power BI monitoring of Team Member downtime and compliance metrics.

Lead Workforce Analyst at Sutherland

March 1, 2024 - March 1, 2024

Automated 5 workforce reports using Power Query to consolidate scattered Excel files into a one-click refresh system, reducing leadership reporting from hours to minutes. Improved forecast accuracy by developing an Excel-based shrinkage model using historical attendance and AUX time data.