Data Engineering

Our Data Engineering Consulting Offerings

1. Data Strategy and Advisory

– We begin with a comprehensive assessment of your data landscape, identifying silos, inefficiencies, and opportunities. Our team aligns data strategies with your business goals, whether it’s optimizing operational efficiency in oil and gas, enhancing public sector analytics, or enabling real-time insights for telecommunications.

– Services include:

– Data governance frameworks for compliance with regulations like GDPR, HIPAA, and CCPA.

– Migration Readiness Assessments for transitioning to cloud-native platforms like Snowflake or Databricks.

– Roadmap development for AI and machine learning integration, ensuring data pipelines are AI-ready.

2. Custom Data Pipeline Development

– We design and implement scalable ETL/ELT pipelines tailored to your infrastructure, automating data ingestion, transformation, and loading from diverse sources (e.g., SAP, GIS datasets, IoT sensors, APIs).

– Key features:

– Real-time streaming pipelines using Apache Kafka or Azure Data Factory for low-latency analytics.

– Modular, fault-tolerant designs with tools like Apache Airflow or dbt for orchestration.

– Integration with Snowflake and Informatica IDMC for high-performance data processing.

3. Cloud Data Platform Modernization

– We specialize in migrating legacy systems to cloud-native architectures, ensuring zero-downtime transitions and cost efficiency.

– Capabilities:

– Modernizing on-premises data warehouses to Snowflake, Databricks, or Azure Synapse Analytics.

– Optimizing cloud costs through auto-scaling warehouses and resource monitoring.

– Implementing role-based access controls (RBAC), encryption, and audit logging for compliance.

– Case Study: For a energy client, we redesigned ETL processes from Informatica to Azure Data Factory and Snowflake, reducing processing time by 20% and cutting infrastructure costs.

4. Data Integration and Unification

– We break down data silos by integrating disparate sources (e.g., CRM, ERP, GIS, social media) into a unified view for analytics.

– Tools and techniques:

– Informatica Cloud/PowerCenter, Talend, or Python/PySpark for cross-platform integration.

– Data virtualization to provide real-time access without physical consolidation.

– Dimensional modeling (e.g., star schema, snowflake schema) for efficient querying in data warehouses.

– Example: For a public sector client, we unified fragmented datasets from multiple agencies into an Azure-based data warehouse, improving reporting accuracy and enabling real-time dashboards.

5. AI and Machine Learning Enablement

– Our data engineering solutions lay the foundation for AI-driven transformation, ensuring clean, structured, and accessible data for model training.

– Services include:

– Building AI-ready platforms with Snowflake AI Data Cloud or Databricks for predictive analytics.

– Automating data quality checks (e.g., using Great Expectations) to support reliable ML models.

– Supporting NLP and neural network applications with high-quality, pre-processed datasets.

– Example: For Energy Client, we engineered a data lake on AWS, enabling AI models to predict equipment failures, saving millions in operational costs.

6. Data Governance and Compliance

– We implement robust governance frameworks to ensure data integrity, security, and regulatory compliance.

– Key features:

– Metadata management and data lineage tracking with Apache Atlas.

– Automated data validation and anomaly detection to maintain quality.

– Compliance with industry standards (e.g., GDPR, HIPAA) through encryption and secure access controls.

– Example: For a public sector client, we deployed audit logging and RBAC in Snowflake, ensuring compliance with federal data security policies.

7. Managed Services and 24/7 Support

– We provide ongoing monitoring, optimization, and support for your data infrastructure, ensuring high availability and performance.

– Offerings:

– 24/7 pipeline monitoring with tools like Prometheus and Grafana.

– Proactive issue resolution to prevent outages, inspired by our partnership model with Maria Volodina for seamless project coordination.

– Training and knowledge transfer to empower your team to manage data systems effectively.

Why Choose Consegna Technologies?

Industry Expertise: With extensive experience in oil and gas, telecommunications, and public sector projects, we understand your unique challenges and deliver tailored solutions.

Proven Track Record: Successfully modernized data systems for various clients, achieving cost savings, performance improvements, and AI readiness.

Strategic Partnerships: Our collaboration with industry experts enhances our GIS and cloud data capabilities, along with SCADA and Industrial Automation ensuring comprehensive solutions.

Agile and Scalable: We adopt agile methodologies and build flexible architectures that evolve with your business needs, from startups to enterprises.

Client-Centric Approach: We prioritize your goals, offering free consultations to map your data journey and deliver measurable outcomes.

How We Work

1. Consultation & Discovery: We assess your data infrastructure, business objectives, and challenges through discovery sessions.

2. Tailored Solution Design: We architect solutions using tools like Snowflake, Informatica, or Databricks, aligned with your industry and compliance needs.

3. Implementation & Testing: Our engineers build, test, and deploy pipelines with rigorous validation (e.g., Great Expectations) to ensure reliability.

4. Optimization & Support: We monitor performance, optimize costs, and provide 24/7 support to keep your data platform running smoothly.