DATA ENGINEERING

In today's data-driven world, unlocking the true potential of your data is crucial for staying competitive and driving business success. At Floodlight, we specialize in providing top-tier Data Engineering services tailored to meet your unique needs and objectives.

DATA INTEGRATION AND ETL (EXTRACT, TRANSFORM, LOAD)

We excel in seamlessly integrating data from diverse sources, transforming it into meaningful insights, and loading it into our customers data warehouse or analytics platform. Whether they're dealing with structured or unstructured data, we ensure smooth data flow across the organization.

DATA WAREHOUSING

Our expert team designs and builds robust data warehousing solutions that serve as the backbone of our customers analytics infrastructure. From architecture planning to implementation and optimization, we ensure their data warehouse is optimized for performance, scalability, and reliability.

BIG DATA PROCESSING

Leveraging the power of distributed computing frameworks such as Hadoop and Spark, we handle massive volumes of data efficiently and cost-effectively. Our Big Data processing solutions enable our customers to derive valuable insights from their data at scale, empowering data-driven decision-making.

DATA PIPELINE ORCHESTRATION

We design and deploy automated data pipelines to streamline data ingestion, processing, and delivery workflows. By orchestrating complex data pipelines, we minimize latency, ensure data integrity, and maximize operational efficiency.

REAL-TIME DATA STREAMING

Stay ahead of the curve with real-time data streaming solutions tailored to our customer’s business needs. Whether they're monitoring IoT devices, analyzing social media feeds, or tracking financial transactions, we architect real-time streaming pipelines that deliver actionable insights instantaneously.

DATA QUALITY AND GOVERNANCE

We understand the importance of data quality and governance in driving business outcomes. Our Data Engineering services include implementing data quality checks, ensuring data lineage, and establishing governance policies to maintain data integrity and compliance.