End-to-end Data Engineering Services

We build scalable, cloud-native data platforms across AWS, GCP, and Azure. We cover the full journey from raw data ingestion to analytics, machine learning, and business-ready data products.

We design, build, and maintain modern data ecosystems that fit your business goals, growth stage, and data maturity.

Cloud & Data Platforms

AWS: S3, Glue, EMR, Athena, MWAA, Lambda (with Step Functions), Redshift, OpenSearch
GCP: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer
Azure: Azure Data Lake, Synapse, Data Factory
Databricks: Lakehouse Platform, Unity Catalog, Delta Lake, Databricks SQL, Workflows

Data Engineering & Processing

dbt (Core & Cloud), Apache Spark, Airflow / Cloud Composer, AWS GlueETL / ELT pipelines, orchestration, data modeling (Kimball, Data Vault), CDC

Data Storage & Architecture

Data Warehouses: Snowflake, BigQuery, Redshift, Synapse, Databricks SQL
Data Lakes & Lakehouse: S3, ADLS, GCS with Delta Lake / Iceberg / Parquet
Lakehouse Platforms: Databricks Lakehouse, Delta Lake, Unity Catalog
Modern architectures: Lakehouse, Medallion, Data Mesh foundations

Languages & Development

Python (with Pandas or PySpark)
SQL-based Technologies (Snowflake, BigQuery, Redshift, Postgres, Spark SQL)
Terraform, Docker
CI/CD: GitHub Actions, GitLab CI, AWS CodePipeline

Machine Learning & Data Science

scikit-learn, XGBoost, LightGBM, TensorFlow, Prophet, statsmodels
MLOps foundations: MLflow, feature stores, model monitoring

BI & Data Products

Tableau, Looker, Power BI, Sisense, Streamlit
Dashboards, embedded analytics, and self-service BI enablement

Data Governance, Quality & Observability

Data catalog and lineage (e.g. Glue Data Catalog, Collibra, Alation)
Data quality checks and testing (dbt tests, Great Expectations)
Pipeline (Airflow)
Observability and alerting (CloudWatch, Prometheus, Grafana, Datadog)
Security and compliance across AWS, GCP, and Azure
Secrets management (AWS Secrets Manager, Vault)

FinOps & Cost Optimization

Cloud cost visibility and optimization
Resource usage optimization and scaling strategies
Storage lifecycle policies (e.g. S3 lifecycle management)
Support in balancing performance, reliability, and cost

We’re your best choice
– backed by data

Our data engineering experts are your best choice. Here’s what makes us so confident:

98%

of our projects come from client referrals

5.0

star rating on Clutch

Expertise in Business Intelligence and Data Visualization

Proven success delivering production-grade cloud data solutions

Transparent communication and flexible collaboration models

Know-how across both data engineering and machine learning

Real-life scenarios for your business:

Data adoption workshops and stakeholder training for better data understanding
Cloud data implementation: from zero to full production environments (AWS + dbt + Airflow + Tableau)
Data migration (e.g., Oracle → Snowflake / Databricks)
Marketing Mix Modeling (MMM) for smarter budget allocation
BI app development in Tableau, Looker, Power BI, or Streamlit
ML/DS models
Data Adoption Training and Analytics Enablement

Generative AI & LLM Solutions

We help your business adopt Generative AI in a practical and scalable way from quick prototypes to production-ready implementations.

What we build:

RAG pipelines connecting LLMs with your internal knowledge bases
Custom AI assistants and chatbots for employees or customers
Intelligent document processing and data extraction
Natural language interfaces for querying your data

We integrate GenAI with your existing data platform (Snowflake, Databricks, BigQuery) to ensure AI solutions are grounded in real, trusted business data.

Project Spotlight

Lucchese Bootmaker
(Luxury Fashion Brand)

Cloud Data Implementation for a global retail client:

1TB+ data warehouse
37,000+ objects in Amazon S3
Hundreds of millions of transaction records

60+ source tables processed through all architecture layers
40 Tableau dashboards and 30 daily automated reports (PushMetrics)
Advanced Marketing Mix Modeling combining 10+ data sources and 2 years of historical data, built and trained using Amazon SageMaker

Architecture flow:

load → stage → integration → information_mart → reporting → meta_mart

Our Tech Stack & Expertise

AWS, GCP, Azure

dbt, Glue (PySpark), Athena (Apache Iceberg), Airflow (MWAA)

SQL (various dialects), Python

Terraform

TensorFlow, XGBoost, scikit-learn, Prophet, pandas, numpy, statsmodels

Tableau, Looker, Power BI, Sisense, IBM Cognos, Streamlit

DevOps, CI/CD automation, business analysis & client training

Project Spotlight

B2B Intent Data Platform

Cloud Data Implementation for a global retail client:

Large-scale big data processing powering AI-generated insights
Data pipelines enabling intent-based targeting for B2B marketing teams
High-volume datasets prepared for advanced analytics and activation

Technology stack:

AWS (DataLake S3 + Iceberg)
Apache Airflow (MWAA)
Lambdas
PySpark
Snowflake
Druid

Analytics & reporting:

Data Analysis and Insight Generation focused on client needs
Custom Data Visualizations and Charts
Interactive Dashboards built in Power BI
Original visualizations designed on top of Wix-based data solutions

Meet Our Data Visualization & Engineering Experts

We're the brains and the heart behind the code. A quirky bunch of passionate pros who love turning ideas into reality. Here, every project is a team sport, and we’re all about building software - and relationships - that last, one line of code at a time.

Patryk

Senior Data Analyst & BA

Daniel

DevOps Engineer

Grzegorz

Senior DevOps Engineer

Marlena

Data Analyst

+12

awesome engineers

(and growing)

How we work?

Let’s discuss your needs

During our first meeting, we'll talk about your data engineering & analytics needs, business goals and outline the project scope.

Technical specification

Based on your insights, we'll create a custom plan to help you reach your goals effectively.

Select your model

Complex end-to-end service or just development and launch? The choice is yours.

Beyond development

Combine various service types and take advantage of flexible hourly support. We’re here if you want to optimize your online stores for search engines (SEO), undergo code review, or more.

Reviews

Quality is our specialty, retention is our metric

“We’ve recently become the #1 fastest growing supplement company in America (Inc. 5000). FPWD played a part in it by continually optimizing our websites.”