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You will get Databricks MLOps with MLflow, retraining, and monitoring

Prabar D.Status: Offline
Prabar D.
5.0
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Prabar, priced and ready to go.
Prabar D.Status: Offline
Prabar D.
5.0
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Prabar, priced and ready to go.

Project details

I help teams implement practical MLOps on Databricks so models are not just deployed, but also tracked, retrained, and monitored over time. This project focuses on MLflow-based workflows, deployment readiness, continuous training, monitoring setup, and clear handoff so your ML systems are more reliable, reproducible, and maintainable in production.
AI Development Type
Deep Learning, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Amazon SageMaker, Chainer, Keras, MLflow, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$595
Standard
$1,350
Advanced
$2,450
Delivery Time 4 days 7 days 12 days
Number of Revisions
122
AI Model Integration
-
Detailed Code Comments
Knowledge Graph
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Model Documentation
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Ontology
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Source Code
Taxonomy
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5.0
10 reviews
100% Complete
(10)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

ZB

Zack B.
5.00
Jun 28, 2026
Business Analysis, Exploratory Data Analysis, Data Validation. I would like to highlight Prabar, who perfectly embodies Warren Buffett’s ultimate standard for excellence: "Look for three things in a person: integrity, intelligence, and energy. And if they don't have the first, the other two will kill you." He’s someone who you can rely on, looking to work with him again for certain . Highly recommend him!

AY

Anush Y.
5.00
Dec 2, 2024
Senior Spark Engineer | Trainer/Code Reviewer For LLM Data Training

ZB

Zack B.
5.00
Aug 27, 2024
Business Analysis, Exploratory Data Analysis, Data Validation.

MW

Marcia W.
5.00
Aug 2, 2024
Data Analyst needed to create Exploratory Data Analysis report Prabar has worked with us for the last 3 years. He has been an invaluable asset to the team and in that time has contributed to scaling our product from MVP to a growing platform. His innovative approach to problem-solving has brought fresh perspectives to our data analysis and he has continuously improved his skills by staying up to date with the latest trends and tools in data science. We highly recommend him.

MB

Michael B.
5.00
Aug 22, 2023
An enterprise client is seeking for a Machine Learning Developer Thank you for the great service and quick turnaround !!!
Prabar D.Status: Offline

About Prabar

Prabar D.Status: Offline
Data Analytics Engineer | Data/ML Pipelines | PySpark | Azure | MLOps
100% Job Success
5.0  (10 reviews)
Bhubaneshwar, India - 11:25 pm local time
I help companies derive insights and forecasts from multi-source messy data - by working out analytics requirements, automating data extraction and cleaning to support analysis and forecasting.

For existing data analytics setups, I build, fix, and optimize Databricks data pipelines and ML workflows using PySpark, Spark SQL, Delta Lake, Azure Data Factory, ADLS, Unity Catalog, and MLflow.

Most of my work is around production Databricks systems: ingestion pipelines, bronze/silver/gold lakehouse architecture, Delta Lake optimization, Spark performance tuning, Unity Catalog governance, and MLOps workflows using MLflow.

I can help you with:

➡️ Building Databricks pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows
➡️ Designing Lakehouse medallion architectures with bronze, silver, and gold layers
➡️ Creating reporting-ready gold-layer datasets for Power BI and Apache Superset
➡️ Building KPI metrics, statistical models, and ML pipelines on Databricks using
➡️ Fixing slow Spark jobs, expensive joins, memory issues, and inefficient writes
➡️ Optimizing Delta tables and Spark workloads
➡️ Migrate ERP and operational financial reports from legacy systems to Databricks, Delta Lake and PowerBI/ Tableau.
➡️ Building Azure data pipelines using Azure Data Factory, ADLS, Azure Databricks, and SQL
➡️ Setting up Unity Catalog governance, permissions, external locations, and secure data access
➡️ Productionizing ML workflows using MLflow, model registry, experiment tracking, and Databricks MLOps

I bring around 8 years of experience across data engineering, data science, analytics, and cloud platforms. I focus on practical, production-ready solutions that are scalable, maintainable, and easy for teams to use.

Core skills: Databricks, PySpark, Spark SQL, Delta Lake, Delta Live Tables, Unity Catalog, MLflow, Azure Data Factory, ADLS, Azure Databricks, SQL, Python, Power BI, Apache Superset, Kafka, Docker, Git, CI/CD, MLOps.

Steps for completing your project

After purchasing the project, send requirements so Prabar can start the project.

Delivery time starts when Prabar receives requirements from you.

Prabar works on your project following the steps below.

Revisions may occur after the delivery date.

Review your current ML workflow, code, and Databricks/MLflow setup.

Design a practical workflow for training, registry, deployment, operations.

Review the work, release payment, and leave feedback to Prabar.