Data Engineer / Data Science

Building reliable data systems with sharp analytics and ML delivery.

orchestrate pipelines | model metrics | deploy insights

Professional portfolio for data engineering, cloud pipelines, interactive dashboards, forecasting, geospatial analytics, and MLOps projects.

pipeline:
  ingest: [api, csv, events]
  validate: data_quality
  transform: dbt
  warehouse: cloud_analytics
  serve:
    - power_bi
    - ml_features
    - stakeholder_kpis

12+

Tools

5

Case studies

2

Dashboards

Featured

Production-minded project case studies

Selected work focused on data platform reliability, dashboard usability, and measurable business outcomes.

Featured
Data EngineeringBatch ProcessingLive

Cloud Retail Lakehouse

An end-to-end AWS data platform for sales, inventory, and margin analytics.

#AWS#dbt#Airflow#S3#Redshift
Featured
StreamingData ScienceIn Progress

Streaming Fraud Detection

Real-time anomaly detection pipeline with feature windows and alert scoring.

#Kafka#Spark#Python#MLflow#FastAPI
Featured
DashboardingAnalyticsLive

Executive Growth Dashboard

Power BI dashboard suite for revenue, retention, cohorts, and funnel metrics.

#Power BI#DAX#SQL#BigQuery

Data Lifecycle Stack

From ingestion and transformation to dashboards, ML, and deployment.

Python
AWS
BigQuery
GCP
dbt
Airflow
Spark
Power BI
Docker
GitHub
MLflow
SQL
Python
AWS
BigQuery
GCP
dbt
Airflow
Spark
Power BI
Docker
GitHub
MLflow
SQL

Dashboards

Interactive reporting experiences

Embedded public Power BI reports can live alongside the technical case study for each project.

Power BI

Cloud Retail Lakehouse Dashboard

Interactive Power BI report connected to the data engineering platform case study.

Related Project

About

A technical profile focused on business-grade data products

I combine backend data engineering discipline with analytics storytelling, dashboard design, and practical machine learning workflows.