At Krish, our Databricks-certified developers help organizations unify data, analytics, and AI on a single platform, enabling faster insights, scalable pipelines, and intelligent automation across business functions.
With proven Databricks expertise, we help enterprises modernize data architectures, optimize lakehouse environments, and build production-grade machine learning models that drive measurable ROI. Hire top Databricks developers to transform how your business collects, processes, and leverages data for innovation.
Strong command of Databricks architecture, Delta Lake, and workspace configurations to design scalable, secure, and high-performance data platforms aligned with enterprise requirements.
Hands-on expertise in building and optimizing distributed data pipelines using Apache Spark for high-volume data ingestion, transformation, and real-time analytics at scale.
Proficiency in developing ETL pipelines, managing data quality, and orchestrating workflows using tools like Databricks Jobs, Airflow, and Azure Data Factory to ensure reliable, analytics-ready data delivery.
Ability to connect Databricks with diverse enterprise systems, APIs, and data lakes—ensuring unified, governed data flow across multi-cloud and hybrid environments.
Experience in building, training, and deploying ML models using MLflow, TensorFlow, and PyTorch within Databricks. Skilled in implementing MLOps practices for automation, monitoring, and reproducibility.
Hands-on proficiency with AWS, Azure, and Google Cloud services, combined with CI/CD automation, cluster optimization, and security governance for reliable, cost-efficient Databricks operations.
With deep understanding of the Databricks ecosystem, our developers design scalable architectures, define governance models, and align data strategies to business priorities. They ensure your lakehouse foundation is robust, secure, and ready for future innovation.
From legacy warehouses and ETL pipelines to modern lakehouse environment, our Databricks experts handle every stage of migration with precision. They minimize disruption, optimize performance, and accelerate modernization through automation and proven migration accelerators.
Developers at Krish seamlessly integrate Databricks with enterprise systems, unifying structured and unstructured data across platforms. Through real-time pipelines and consistent governance, they eliminate silos and enable a single, analytics-ready source of truth for the organization.
Continuous optimization, 24x7 monitoring, and proactive governance keep your Databricks workloads running efficiently. Our developers fine-tune clusters, automate workflows, and ensure cost efficiency, so your business teams can focus on strategic innovation.
Bringing data science and engineering together, our developers build, train, and operationalize machine learning and generative AI models on Databricks. MLOps best practices ensure reproducibility, accelerated deployment, and measurable outcomes from advanced AI initiatives.
Our Databricks developers excel across the data engineering and AI ecosystem, mastering Spark-based processing, cloud integrations, and automation frameworks that power scalable lakehouse architectures, real-time analytics, and data-driven business transformation.
Being AI-led agency focused on clients’ growth, we deliver next-generation solutions, leveraging artificial intelligence to in areas like commerce, content and martech to increase their revenue, global reach and ROI. We serve retailers, manufacturers, distributors, enterprises and conglomerates globally.