Anshul C.

Associate Consultant

Bengaluru, Karnataka, India5 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data engineering and cloud migration.
Proven track record in MLOps and CI/CD implementation.
Skilled in developing data analytics solutions using Power BI.

Stackforce AI infers this person is a SaaS Data Engineering and MLOps expert with strong cloud architecture skills.

Contact

2910anshul1997@gmail.com LinkedIn

Skills

Core Skills

Business Intelligence (bi)Data EngineeringMlops

Other Skills

Apache SparkAzure Data FactoryAzure MLBlockchainC++CI/CDData Ingestion PipelinesData ModelingDatabricksDecentralized Applications (DApps)Extract, Transform, Load (ETL)Gen AIGenerative AIHTMLLinux

About

As a seasoned Data Engineering, DevOps and MLOps Consultant with a strong background in cloud architecture and data migration, I specialize in crafting robust data solutions and optimizing workflows. With extensive experience at Ernst & Young and Quantiphi, I have developed and implemented numerous data ingestion pipelines, established efficient CI/CD processes, and facilitated seamless transitions to cloud platforms like Azure and Snowflake. My expertise in data engineering, MLOps, and DevOps allows me to drive efficiency and innovation in complex data environments.

Experience

Thoughtworks

Consultant

May 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India

Led the development of a data analytics suite in Power BI, enabling insights for stakeholders.
Identified Onboarded key tables, designed the data model, and built interactive visuals.
Established a validation process to ensure data accuracy and reliability.
Established CI/CD and version control for Databricks and Power BI, streamlining deployments and operations.
Leveraged generative AI with Vespa for advanced profile searches, successfully implementing the system to enhance candidate identification and matching processes.

Power BIData ModelingCI/CDVersion ControlGenerative AIBusiness Intelligence (BI)+1

Ey

Consultant

Nov 2022 – May 2024 · 1 yr 6 mos · Gurugram, Haryana, India

Machine Learning Engineer
Successfully deployed ML models as batch endpoints on Azure ML and Databricks platforms, ensuring seamless integration and efficient data processing.
Developed robust deployment pipelines using MLOps principles, enabling automated model deployment, monitoring, and scaling, resulting in improved productivity and reduced time-to-market.
Implemented continuous integration and continuous deployment (CI/CD) practices for machine learning models, ensuring rapid and reliable deployment of new model versions and updates.
Data Engineer
Designed an end-to-end architecture for a client on the Azure cloud, facilitating the migration of their on-premises data to Azure Data Cloud.
Developed several ingestion pipelines on Azure Data Factory and Databricks notebooks to support their business logic.
Implemented a CI/CD pipeline for Azure Data Factory utilizing GitHub Actions to deploy code changes to higher environments.

Azure MLDatabricksMLOpsCI/CDAzure Data FactoryData Engineering

Quantiphi

2 roles

Data Engineer

Promoted

Aug 2021 – Nov 2022 · 1 yr 3 mos

Collaborated with the Snowflake team and assisted multiple customers in migrating/onboarding to the Snowflake data platform.
Designed and maintained over 60 dynamic data ingestion pipelines connecting various on-premise source systems (SQL Server, SFTP Server, S3 Bucket, MySQL, Db2, PostgreSQL, etc.) with target systems (Azure Data Lake Storage, Snowflake, Azure Synapse Analytics) using Azure Data Factory.
Created Azure Databricks notebooks for Extract, Transform, and Load processes for multiple source and target systems.

SnowflakeAzure Data FactoryDatabricksData Ingestion PipelinesData Engineering

Framework Engineer

Feb 2021 – Aug 2021 · 6 mos

Worked on creating PowerBI dashboards for the insurance company, specifically focused on claims, vendor agency, and agent data.
Utilized Snowflake as the data warehouse and Power Apps for alerts and write-back functionality.
Developed a Python-based utility tool for migrating data between on-premises sources such as SQL Server, MySQL, PostgreSQL, and Snowflake.

Power BISnowflakePythonBusiness Intelligence (BI)