Data Engineering (ETL/ELT)

Is your data scattered across systems, making it impossible to get a complete picture of your business? MainSail Data builds data pipelines that collect, transform, and consolidate your data into a single source of truth. From ETL pipelines and data warehouses to modern data lakes, we create the foundation for data-driven decisions. Stop struggling with spreadsheets and manual reports—automate your data flow. Contact us for a free data assessment.

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What You Get Data Engineering Services

ETL/ELT Pipelines

Automated Data Flow

Automated pipelines that extract data from source systems, transform it for analysis, and load it into your data platform reliably.

Data Warehouse Design

Organized, Queryable Data

Well-designed data warehouses with dimensional models that make data easy to query, analyze, and report on.

Data Lake Architecture

Scalable Raw Storage

Modern data lakes that store raw data at any scale, ready for transformation, ML, and advanced analytics.

Data Transformation

Clean, Consistent Data

Transform raw data into consistent, business-ready formats with cleaning, standardization, and enrichment.

Data Quality

Validated & Monitored

Built-in data quality checks, validation rules, and monitoring to ensure your data is accurate and trustworthy.

Pipeline Orchestration

Scheduled & Managed

Automated scheduling, dependency management, and orchestration that keeps your data pipelines running smoothly.

Real-Time Streaming

Live Data Processing

Stream processing for real-time analytics, event-driven architectures, and immediate data availability.

Historical Data

Track Changes Over Time

Slowly changing dimension handling and historical tracking so you can analyze trends and changes over time.

Monitoring & Alerting

Proactive Management

Pipeline monitoring, error alerting, and observability to catch issues before they impact your business.

Build Your Data FoundationETL pipelines and data platforms that power analytics.

MainSail Data builds the data infrastructure that makes analytics and business intelligence possible. We design and implement ETL/ELT pipelines that automate data collection, transformation, and delivery—turning raw data from disparate sources into a unified, reliable foundation for decision-making.

Whether you need a simple data warehouse for reporting or a comprehensive data lake for advanced analytics and machine learning, we deliver scalable, maintainable data platforms that grow with your business.

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Consolidate Data

Single source of truth

Bring data from all your systems into one unified platform where it can be analyzed together.

Automate Everything

No manual data work

Automated pipelines run on schedule, eliminating manual data exports, imports, and spreadsheet manipulation.

Enable Analytics

Foundation for insights

Clean, organized data ready for BI tools, dashboards, reports, and advanced analytics.

WAREHOUSE

STRUCTURED ANALYTICS

Data warehouses with dimensional models optimized for BI reporting and ad-hoc analysis.

DATA LAKE

SCALABLE STORAGE

Modern data lakes for raw data storage, supporting advanced analytics and machine learning.

LAKEHOUSE

BEST OF BOTH

Lakehouse architectures combining data lake flexibility with data warehouse performance.

STREAMING

REAL-TIME DATA

Stream processing for real-time dashboards, alerts, and immediate data availability.

What You Get with Data Engineering

Automated Pipelines

Always up-to-date data

Scheduled ETL/ELT pipelines that keep your data current without manual intervention.

Data Quality

Trustworthy analytics

Built-in validation and monitoring ensures your data is accurate and reliable.

Scalable Platform

Grows with you

Cloud-native architecture that handles increasing data volumes as your business grows.

Frequently Asked Questions Common Questions About Data Engineering

Find answers to the most common questions about data engineering services.

General Questions

What is data engineering?

Data engineering designs and builds systems that collect, store, and transform raw data into formats ready for analysis. This includes ETL/ELT pipelines, data warehouses, and data lakes—the foundation for business intelligence and analytics.

What's the difference between ETL and ELT?

ETL transforms data before loading. ELT loads raw data first, then transforms in place. ETL is traditional; ELT leverages modern cloud warehouses. We recommend the approach that fits your data and infrastructure.

How much does it cost?

Simple pipelines: $25,000-$75,000. Medium projects: $75,000-$150,000. Enterprise platforms: $150,000-$500,000+. We provide detailed estimates after assessing your data landscape.

What data sources can you work with?

Virtually any: databases, cloud applications, files (CSV, Excel, JSON), APIs, streaming data, IoT devices, and legacy systems. If you have data, we can integrate it.

Technical Questions

What tools do you use?

Pipelines: Azure Data Factory, AWS Glue, Airflow, dbt, Fivetran. Warehousing: Snowflake, Azure Synapse, BigQuery. Data lakes: Azure Data Lake, AWS S3, Databricks. We're platform-agnostic.

How do you ensure data quality?

Built-in validation rules, data profiling, anomaly detection, and monitoring. We implement frameworks like Great Expectations. Bad data is caught early.

How long do projects take?

Simple pipelines: 4-8 weeks. Medium platforms: 2-4 months. Enterprise: 4-8+ months. We deliver incrementally so you see value early.

Do you provide ongoing support?

Yes, we offer maintenance including monitoring, error resolution, performance optimization, and adding new data sources as your needs grow.

MainSail Data builds data foundations for analytics.

Ready to consolidate your data and automate reporting? Our team builds ETL pipelines, data warehouses, and data platforms that transform raw data into business insights. Start your data engineering project today.

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