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5151 N Oracle Rd, Tucson, AZ 85704, USA
Design and implement scalable ETL/ELT pipelines to ingest, process, and transform structured and unstructured data.
Get Free ConsultationWe have a team of expert data engineers who offer data pipeline development services on demand—tailored to your business goals.
Explore our data engineering services and connect with us to leverage one or all of them—from ingestion to transformation to delivery.
We offer strategic data engineering services to help you build scalable, secure, and high-performance pipelines. Our experts design and implement custom workflows that ingest, clean, and transform data across cloud and on-prem environments—ensuring your systems are analytics-ready and future-proof.
Our engineers specialize in creating data pipelines that automate data movement and processing across platforms. Whether it’s real-time streaming or batch jobs, we optimize every step—from source to destination—using tools like Spark, Airflow, and cloud-native orchestration.
Our engineers build intelligent pipelines that monitor themselves for failures, latency spikes, and schema drift. These self-healing systems automatically reroute, retry, and alert—ensuring uninterrupted data flow and minimizing downtime.
We help product teams integrate backend data pipelines into mobile apps for real-time personalization, analytics, and user tracking. Whether it’s fitness, finance, or e-commerce—our data engineering services ensure your app delivers insights at scale.
Our data pipeline development fuels AI/ML initiatives with clean, labeled, and high-quality datasets. We automate ingestion from multiple sources, enrich data, and deliver it to model training environments—unlocking smarter decisions.
Already have a pipeline? We audit, optimize, and maintain it. From performance tuning to cost reduction, our team ensures your system evolves with your business—while staying secure and compliant.
Our data engineers are equipped with cutting-edge tools and frameworks to build scalable, secure, and intelligent data pipelines.
Through our data engineering services, we help you explore the right technologies and design pipelines that power real-time analytics, AI models, and enterprise platforms.
We specialize in creating data pipelines that handle real-time ingestion, transformation, and delivery across cloud and hybrid environments. Expect low-latency performance, fault tolerance, and seamless integration with your existing stack.
Our team builds scalable infrastructure for processing massive datasets using Spark, Hadoop, and cloud-native tools. We design pipelines that support predictive analytics, personalization, and business intelligence at scale.
We prepare and deliver clean, labeled, and enriched data for AI/ML workloads. Our data pipeline development ensures your models receive high-quality inputs—boosting accuracy and reducing training time.
We implement governance, encryption, and access controls across every pipeline. Whether you're in healthcare, finance, or SaaS—our data engineering services meet HIPAA, GDPR, and SOC 2 standards.
We use Airflow, Prefect, and cloud-native schedulers to automate ETL workflows. From ingestion to transformation to storage—our pipelines run reliably with minimal manual intervention.
We help you migrate from outdated data flows to modern, cloud-optimized pipelines. Our engineers redesign architecture for performance, scalability, and long-term maintainability.
Technology Stack: Python, Apache Kafka, Spark, AWS Glue
A major US retail brand struggled with fragmented data sources and delayed insights, limiting personalization and dynamic pricing. We built a unified data pipeline that ingested transactional, behavioral, and inventory data in real time. Using our data engineering services, we transformed and delivered insights to their recommendation engine—enabling dynamic product suggestions and pricing strategies.
Outcome: 3x increase in conversion rates and 40% reduction in data latency.
GET QUOTE FOR YOUR PROJECT Technology Stack: Amazon SageMaker, Spark, XGBoost, AWS Cloud
A London-based fintech firm needed to detect and prevent real-time fraudulent transactions across its payment network.
We designed a predictive data pipeline that analyzed transaction time, location, and spending patterns.
Our team implemented adaptive ML models and monitoring workflows—creating data pipelines that learn and evolve with fraud behavior.
Outcome: 80% reduction in fraud incidents and improved customer trust.
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Technology Stack: Apache Spark, Cassandra, HDFS, Amazon Web Services
An OTT platform wanted to boost engagement and reduce churn by recommending shows based on viewer preferences.
We developed a scalable data pipeline that processed viewing history, ratings, and user behavior.
Our data pipeline development enabled real-time recommendations and personalized content delivery across devices.
Outcome: 2.5x increase in watch time and 30% drop in churn rate.
GET QUOTE FOR YOUR PROJECTAt LevelsAI, we’ve spent over a decade solving data challenges with agile, scalable solutions.
Our expert engineers help you design a roadmap for your data pipeline development—from ingestion to transformation to delivery. This proven process, backed by our data engineering services, has helped businesses unlock real-time insights, automate workflows, and scale confidently.
We assign a dedicated data strategist to assess your platform, data sources, and business goals. Based on your use case, we recommend the right tools, architecture, and data pipeline strategy tailored to your environment.
Our engineers create interactive prototypes and flow diagrams to visualize how data will move, transform, and be consumed. This step helps stakeholders understand the impact and efficiency of creating data pipelines before full deployment.
We build and test multiple pipeline configurations using tools like Spark, Kafka, and Airflow. Our team ensures performance, fault tolerance, and security—fixing any bottlenecks or vulnerabilities instantly.
Once optimized, we integrate the pipeline into your existing infrastructure or expose it via secure APIs. We also set up automated monitoring and alerts to ensure long-term reliability and scalability.
We ensure you're matched with the right data engineering expert based on your platform, volume, and business goals. Whether you're building real-time analytics, migrating legacy systems, or creating data pipelines from scratch—our team delivers scalable, secure, and optimized solutions.
Your success is Guaranteed
We accelerate data pipeline development and ensure measurable outcomes—from ingestion to transformation to delivery. Our team uses Slack, Jira & GitHub for transparent collaboration, milestone tracking, and seamless execution.
At LevelsAI, we specialize in building secure, scalable, and intelligent data pipelines that power modern digital platforms.
Our team of certified engineers delivers end-to-end data engineering services—from ingestion and transformation to real-time delivery and monitoring. Whether you're launching a new product or modernizing legacy systems, we help in creating data pipelines that are optimized for performance, compliance, and growth.
We needed a reliable partner for building a real-time data pipeline across our retail systems. LevelsAI delivered beyond expectations—their team was proactive, transparent, and deeply skilled in data engineering services. Our analytics now run faster than ever.
LevelsAI helped us in creating data pipelines that power our healthcare platform. From ingestion to transformation, everything was automated and HIPAA-compliant. Their engineers understood our business and built exactly what we needed—securely and at scale.
I was referred to LevelsAI while modernizing our legacy data flows. Their data pipeline development team saved us months of effort and thousands in cost. The migration was smooth, and our new architecture is cloud-optimized and future-ready.
Our data engineering services are designed to simplify complex data workflows. We build pipelines that ensure your data is accurate, accessible, and analytics-ready—helping your teams make faster, smarter decisions without wasting time on manual fixes.
