Anand Advani

1. Working with databases using python including both sql as well as no sql, which includes building data ingestion and processing pipelines for batch as well as streaming data 2. Building complete backend for web applications on cloud as well as on premise systems using Python, Redis, Flask , etc. on GCP as well as AWS cloud platforms 3. Automation of manual workflows using python 4. Data migration from on prem to cloud

1. Experience with almost all of the GCP data services with in depth hands. Including production deployment. 2. Data migration projects from on prem to GCP 3. Creation of datalakes and data warehouses on GCP 4. Data governance using dataplex 5. Data ingestion as well as data processing pipelines for both batch as well as streaming data using services like cloud composer, data fusion, dataflow (with custom dataflow templates), cloud functions, BigQuery data transfer service, etc.

Intensively worked on creating lambda functions in conjunction with API gateway to design serverless API driven systems

End to end data engineering pipelines starting from Data ingestion to data processing and wrangling, data governance and access control within Google cloud platform. Deployed these data pipelines at production level for MNC clients. Entire process becomes more efficient by automating workflows using python.

1. Data processing workflows 2. Manual data preparation workflows 3. Web based workflows 4. System application based workflows (windows) 5. web scraping

Exp in writing complex SQL queries, worked on several SQL databases including - Oracle, PostgreSql, Redshift as well as BigQuery on GCP

I am having industrial exp in creating ML models from scratch using python. Including end to end process - model creating, tuning, deployment and monitoring.