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Data Engineering and Integration Services

Data Engineering and Integration for Mission Success.

Advance your mission with optimized data integration and engineering tailored for government needs.
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Trusted by federal agencies and leading primary contractors.

Data Engineering and Integration Services

1. Data Integration
Our experts help federal agencies select and implement the right data integration tools and techniques for disparate data sources, ensuring seamless integration into data lakes, data warehouses, or other storage solutions. We prioritize data to control costs while maximizing value.
2. Data Pipelines
We design and implement efficient data pipelines using modern tools to automate workflows, standardize data transformation, and eliminate bottlenecks. Our solutions ensure that your data is always analytics-ready and accessible for decision-making.
3. Data Transformation
Transform raw data into actionable insights. We cleanse, combine, and enhance data with derived business logic to create a reliable, business-ready data layer in your data warehouse, enabling robust analytics solutions.
4. Prebuilt ELT and ETL Frameworks
Our reusable ELT and ETL frameworks ensure consistent data ingestion with standardized naming conventions, auditable processes, and clear data lineage, making your data integration processes efficient and reliable.
5. Data Cleansing and Data Quality
We establish realistic standards for data quality, optimize data cleansing tools, and implement strategies to prevent bad data from being created. Our approach ensures your data remains clean, accurate, and trustworthy.
6. Data Architecture Assessment
From creation to analysis and archiving, we review each stage of your data lifecycle to maximize its business value. Our assessments ensure that valuable information is consistently created at scale, supporting your agency’s strategic goals.
Case study

HHS’s Assistant Secretary for Public Affairs (ASPA) faced significant challenges with their existing data warehousing and analytics infrastructure. Key issues included data insufficiency, poor data cleanliness, and inefficiencies in data processing. These problems hindered ASPA’s ability to perform advanced data analytics and generate actionable insights, critical for informing communication and public health decisions. Read the case study.

Data Engineering Technologies We Use

Cloud Toolset
  • Analytical Databases: BigQuery, Redshift, Synapse
  • ETL: Databricks, DataFlow, DataPrep, Fivetran, Segment, Zapier
  • Scalable Compute Engines: GKE, AKS, EC2, DataProc
  • Process Orchestration: AirFlow / Composer, Bat, Apache NiFi, dbt
  • Platform Deployment & Scaling: Terraform, custom tools
  • Cloud Services: AWS, Google Cloud, Microsoft Azure
Open Source
  • Support for all Hadoop distributions: Cloudera, Hortonworks, MapR
  • Hadoop Tools: HDFS, Hive, Pig, Spark, Flink
  • NoSQL Databases: Cassandra, MongoDB, HBase, Phoenix
  • Process Automation: Oozie, AirFlow
Data Platforms
  • Databricks
  • Cloudera
  • Snowflake
Data Observability
  • Datadog
  • Grafana
  • Prometheus
DataOps
  • Apache NiFi
  • Airflow
  • dbt
Data Quality Testing
  • Great Expectations
  • Deequ
  • Talend
Data Transformation
  • Apache Beam
  • Talend
  • Informatica
Visualization Tools
  • Power BI
  • Tableau
  • Data Studio
  • D3.js
Big Data Processing
  • Hadoop
  • Apache Spark
Streaming Data
  • Apache Kafka
Programming Skills
  • Python: NumPy, pandas, matplotlib, scikit-learn, SciPy, Spark, PySpark, and more
  • Scala, Java
  • SQL, T-SQL, H-SQL, PL/SQL
100s of federal offices, staff divisions, and contracting companies rely on our data engineering and integration services.

Why Choose Analytics Logic for Data Engineering Services

Analytics Logic project planning meeting

Deep Federal Experience

Benefit from our 12+ years of experience with U.S. Federal projects, ensuring compliance and deep understanding of governmental data needs and challenges.

Strategic Tech Partnerships

Leverage our vendor-neutral partnerships with top tech giants like Google, AWS, Azure, and more, allowing us to tailor cutting-edge data science solutions perfectly suited to your requirements.

Diverse Industry Insight

Our team of dedicated data experts brings invaluable cross-industry experience from government, healthcare, finance, and media, enabling us to cross-pollinate best practices across industries, providing you with innovative, tried-and-tested solutions that are not confined to a single perspective.

Our streamlined and effective process.

Step 1

Initiate discovery.

We start by understanding your project needs, objectives, and constraints to tailor our approach, whether it involves advanced data science or strategic analytics.
Step 2

Tailor solutions.

Based on the discovery insights, we define the strategy and assemble a tailored team of data experts suited to your project’s specific requirements.
Step 3

Launch and execute.

With the strategy and team in place, we initiate project execution, ensuring constant communication and flexibility to adapt to evolving needs.

Looking for reliable data engineering and integration expertise for your agency?

See how we can help.