Data Engineering
& Analytics Services

Turn your data into profits with our Data Engineering & Analytics pros and join our happy clients across US and EU.

Data Engineering & Analytics Services
Optilyz
Buzz Stream
Echelon
Everphone
Fatty15
Flaus
Intentsify
Lucchese
Win
eCatholic
Optilyz
Buzz Stream
Echelon
Everphone
Fatty15
Flaus
Intentsify
Lucchese
Win
eCatholic
Optilyz
Buzz Stream
Echelon
Everphone
Fatty15
Flaus
Intentsify
Lucchese
Win
eCatholic
Abilitie
Dorling Kindersley
Rasa
Fracture
Revival
1rockwell
Humann Fit
zenefits
Abilitie
Dorling Kindersley
Rasa
Fracture
Revival
1rockwell
Humann Fit
zenefits
Abilitie
Dorling Kindersley
Rasa
Fracture
Revival
1rockwell
Humann Fit
zenefits

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.

from poland with dev in table
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

98% Referral, 2% Lucky Finds

Lenny dialog
From Poland wth Dev team in mountains
From Poland wth Dev team in mountains

98% Referral, 2% Lucky Finds

Strong partnerships start with great people. That’s why we work with companies we believe in. We focus on thoughtful growth through quality work. Happy customers spread the word, bringing in like-minded partners. Though if you found us by chance, be like Lenny – say hi if it feels right! 😊

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
reali-life scenarios

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.

ai solutions

Here’s what you’ll gain:

01
Eliminate data silos and achieve a single source of truth
02
Build scalable, cloud-native architectures on AWS, GCP, or Azure
03
Improve data reliability, accessibility, and security
04
Enable real-time analytics and automation
05
Support data-driven decision-making and marketing budget optimization
06
Create custom ML and AI solutions for prediction and insight generation

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:

loadstageintegrationinformation_martreportingmeta_mart

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
case data platform

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
Our Tech Stack & Expertise
AWS, GCP, Azure
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
terraform logo
Terraform
ms sql logo
MS SQL
mysql logo
MySQL
postgres sql logo
ProgresSQL
powerbi logo
PowerBI
elasticsearch logo
ELastic Search
python logo
Python
dbt, Glue (PySpark), Athena (Apache Iceberg), Airflow (MWAA)
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
terraform logo
Terraform
ms sql logo
MS SQL
mysql logo
MySQL
postgres sql logo
ProgresSQL
powerbi logo
PowerBI
elasticsearch logo
ELastic Search
python logo
Python
SQL (various dialects), Python
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
terraform logo
Terraform
ms sql logo
MS SQL
mysql logo
MySQL
postgres sql logo
ProgresSQL
powerbi logo
PowerBI
elasticsearch logo
ELastic Search
python logo
Python
Terraform
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
terraform logo
Terraform
ms sql logo
MS SQL
mysql logo
MySQL
postgres sql logo
ProgresSQL
powerbi logo
PowerBI
elasticsearch logo
ELastic Search
python logo
Python
TensorFlow, XGBoost, scikit-learn, Prophet, pandas, numpy, statsmodels
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
terraform logo
Terraform
ms sql logo
MS SQL
mysql logo
MySQL
postgres sql logo
ProgresSQL
powerbi logo
PowerBI
elasticsearch logo
ELastic Search
python logo
Python
Tableau, Looker, Power BI, Sisense, IBM Cognos, Streamlit
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
terraform logo
Terraform
ms sql logo
MS SQL
mysql logo
MySQL
postgres sql logo
ProgresSQL
powerbi logo
PowerBI
elasticsearch logo
ELastic Search
python logo
Python
DevOps, CI/CD automation, business analysis & client training
aws logo
AWS
azure logo
Azure
google cloud logo
Google Cloud
terraform logo
Terraform
ms sql logo
MS SQL
mysql logo
MySQL
postgres sql logo
ProgresSQL
powerbi logo
PowerBI
elasticsearch logo
ELastic Search
python logo
Python

Get to know us

Our software agency was established in 2015 by two cousins, Paweł and Marcin. What started out as a team of 5 quickly scaled to 100+ people across technologies and locations on a mission to shift the mentality of outsourcing tactical projects to Polish devs. We handpick clients and projects, which enables our team to create, design and implement complex solutions and softwares.

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

Patryk

Senior Data Analyst & BA
Daniel

Daniel

DevOps Engineer
Grzegorz

Grzegorz

Senior DevOps Engineer
Marlena

Marlena

Data Analyst
+12

awesome engineers

(and growing)

How we work

01
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.
02
Technical specification
Based on your insights, we'll create a custom plan to help you reach your goals effectively.
03
Select your model
Complex end-to-end service or just development and launch? The choice is yours.
04
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.”
"I’ve worked with a lot of agencies in the past and had a lot of headaches – FPWD is not one of those."
“The resources they’ve recommended are all incredibly talented, smart, and good people.”
“They've created a lot of great assets and we've been very pleased with their work.”
“They’re very responsive and eager to help, so we’ve had a great collaboration with them so far.”
“They are invested in the work, and they want us to achieve our goals.”
“Their passion for the work they do is clear. They truly care about our company’s success.”
“The partnership has been working out great for the redesign and relaunch of our main site.”

We’d love
to hear from you

Got a question or need project advice? Reach out, we’d love to hear from you! Better yet, visit us at one of our offices or anywhere in Poland.

Thank you for reaching out! We'll get back to you shortly
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Contact Ala
Alicja Trzewik-Wantuła
Director of Client Relations

FAQ

If you have a question about our Data Engineering & Analytics Services, you’ll probably find an answer below. If not, feel free to contact us – we’ll be happy to clear things up for you.

How long does a Data Engineering project usually take?

Project timelines depend on factors like the number of systems to integrate, data complexity, and team size.

Smaller implementations or optimizations can take a few weeks, while full data platform builds typically span several months.

If you need help defining the scope, we could start with a discovery workshop to clarify requirements, milestones, and realistic delivery phases aligned with your business priorities.

I already have a Data Engineer, but we’re struggling with Data Visualization. Can you help?

Absolutely. Our team can complement your in-house Data Engineer by designing and implementing powerful business intelligence dashboards in Tableau, Power BI, Looker, or Streamlit. We focus on making data more accessible and actionable through clean visual design and automation, so your team can focus on useful insights.

We have an existing infrastructure, but the costs are too high. Can you help us optimize?

Yes, cost optimization is one of our most common use cases. We analyze your cloud architecture and data pipelines (AWS, Snowflake, Databricks, etc.) to identify performance bottlenecks and unnecessary resource use.

Then we redesign your setup for scalability, automation, and lower cloud costs.

Can I work with your Data Team on a long-term basis?

Yes, definitely. Many of our clients choose ongoing collaboration models where we act as an extension of their in-house team.

Whether you need continuous data pipeline monitoring, ML model maintenance, or regular BI dashboard updates, we adapt to your business rhythm and communication style.

We have multiple systems, but they’re not connected. What can we do?

That’s a classic data integration challenge, and one we love solving.

We help you connect ERP, CRM, and SaaS platforms (like Celigo, HubSpot, or Salesforce) into a single centralized data ecosystem.

This gives you a unified view of your business and lays the foundation for Analytics and Machine Learning.

Can you modernize outdated reports?

Yes. We specialize in BI modernization – rebuilding outdated dashboards with real-time data, automated refreshes, and intuitive design.

We want to start working with data, but we don’t know where to begin.

No worries – that’s what we’re here for.

We offer Data Strategy Workshops to define your goals, choose the right tools, and build a roadmap toward measurable results.

Whether you’re just starting or scaling up, we adjust every step to your team’s level and needs.

We’re using a SaaS solution like Celigo but want something custom. Can you build it?

Of course. We design Custom Data Solutions that integrate with or replace existing SaaS tools, giving you full control over performance, scalability, and cost.

We also make sure your team understands how to maintain and evolve the system long-term.

How secure is our data in the cloud?

Security is a core part of every solution we build. We follow industry-standard encryption, access control, and data governance practices across AWS, Azure, and GCP environments.

We also offer Data Security Audits and training to help your team manage permissions safely.

How can Data Analytics help our business performance?

Data analytics helps uncover inefficiencies, optimize marketing spend, and forecast trends.

We use techniques like Marketing Mix Modeling (MMM), Predictive Analytics, and Custom Dashboards to turn raw data into useful insights that make your business grow.

When built on a modern data platform, analytics becomes faster, more reliable, and easier to scale across teams and workflows.

Why invest in a modern Data Platform?

A modern Data Platform connects all your systems into a single source of truth, ensuring everyone works with the same reliable data.

It removes manual reporting, improves data accessibility, and enables faster, data-driven decisions across the business, from daily operations to strategic planning.