Ashish Yadav

Working as a scrum master had 9+ years of IT experience. Will bring emence experience of agile and data Engineer and data warehouse.

AWS, Azure, Python, Spark, AWS Glue, S3 Bucket, SNS , SQS ,AWS lambda functions Jenkins CI/CD Snowflake · Extract, Transform, Load (ETL) , Amazon Web Services (AWS), Python, SQL, PostgreSQL Creating Snow pipe for continuous data ingestion with regular check and maintenance Automation of Snow pipe using event notifications along with Snow pipe Error Notifications ,and Troubleshooting Snow pipe. handling the S3 bucket with AWS Glue performing extract, transform, and load (ETL) service.

Working on Real Estate project with Extensively Experience on Sales, Financial Related project . Major Focus on moving offline Data facility to Azure cloud services including setting up Data Pipelines using Azure Data Factory with Azure CI/CD , Azure DevOps and Azure synapse Analytics. Also handled Package Development (Data Integration) In SSIS and modeling. with SSRS including basic visualization with Power BI . Adding Additional tools to my skillset PySpark and Databricks.

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Managing available resources data, and personnel so that deadlines are met. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

Working on OTT app platform . Was Handling Database management and integration tools( Ab Initio) with AWS Cloud( S3 Bucket & AWS Glue). Experience in Working On SQL Server performed MySQL Migration from SQL 2017 to SQL 2019. Focus on Batch processing and data manipulation and then push it to data warehouse and then to cloud.

Worked in Multiple project base on IP, Finance, Sales. Database Management and Dashboard project on Panasonic (IP) data for firm management to extract quality information from dashboard via charts. we have made it semi automated with monthly updates . project was a massive exposure and learning curve for me . massive data set cleaning , shorting , manipulating and Query execution. Financial project with WELLS FARGO was mostly data warehouse development and report generation with SSIS , Sql and Power BI .