Rituraj kumar

Accomplished Data and MLOps Engineer with over 6 years of experience driving innovative data solutions for large enterprises and leading startups. Specializing in MLOps and DataOps, I have a proven track record of spearheading large-scale projects that integrate advanced analytics and machine learning to drive substantial business transformations.

In my current role at Zeals, I orchestrated the design and implementation of a recommendation engine and offer tracking system, significantly enhancing chatbot interactions and user engagement. I also led the development of a scalable data analytics platform that integrates multiple sources for real-time insights, achieving a 10x improvement in processing speed and reducing infrastructure costs by 85-90%. Additionally, I championed the implementation of end-to-end training and prediction pipelines using MLOps principles, ensuring efficient deployment and maintenance of machine learning models.
My industry experience spans fintech, consumer products, and retail, where I am passionate about delivering data-driven strategies that empower management teams with actionable insights and drive strategic advancements.

Key strengths:
✔️ Strategic planning and leadership in data engineering and MLOps
✔️ Building data warehouses using modern cloud platforms and technologies
✔️ Creating and automating data pipelines, real-time streaming & ETL processes
✔️ Proficiency in creating intuitive dashboards and implementing machine learning models
✔️ Skilled in data cleaning, processing and data migration
✔️ Data strategy advisory & technology selection/recommendation

Technologies I frequently work with:
☁️ Cloud Platforms: GCP, AWS, Azure
👨‍💻 Databases: BigQuery, Redshift, Snowflake, RDS, PostgreSQL, MySQL, S3, MongoDB
⚙️ Data Engineering Tools: BigQuery, Airflow, dbt, Hadoop, Snowflake, GCP Dataflow, ETL, Data Lake, Data Warehouse, Data Quality, Data Governance, Data Security
🤖 MLOps Tools: Kubeflow, Kubeflow Pipelines, Vertex AI, Sagemaker, Vertex Pipelines
📊 Data Visualization: Tableau, Looker Studio (Google Data Studio), Power BI
🚀 Containerization and Orchestration: Docker, Kubernetes
🔄 Streaming and Search: Kafka, Elasticsearch, Real-Time Streaming, Flink
💻 Programming Languages: Python, SQL, PySpark
🛠️ Frameworks and Libraries: Flask, Dagster, Terraform
🗂️ Version Control and CI/CD: Git, GitHub Actions, GitLab
🔧 Other Technologies: NoSQL, ComfyUI, Stable Diffusion, GCP Vertex Pipelines, BigQuery ML ,gRPC
👥 Leadership and Project Management: Team management, Project Coordination