Data Engineering and Integration Services
Data Engineering and Integration for Mission Success.
Trusted by federal agencies and leading primary contractors.
Data Engineering and Integration Services
1. Data Integration
2. Data Pipelines
3. Data Transformation
4. Prebuilt ELT and ETL Frameworks
5. Data Cleansing and Data Quality
6. Data Architecture Assessment
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
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.