Parth Sethi Email & Phone Number

Createing and maintaining optimal data pipeline architectureOwn and optimize the Packt Datahub on AWS RedshiftDeveloping and maintaining ELT/ETLBuilding and maintaining data models in dbtBuilding and optimising pipleines using AirflowWorking with data stakeholders across business units to support their data needs

• Developed and maintained efficient data pipelines for ingestion, transformation, and loading of large and complex data sets into the Redshift data warehouse. • Worked closely with cross-functional teams to understand business requirements and translate them into technical specifications for data pipelines. • Assisted software developers and data analysts in their data initiatives, providing expertise and support. • Implemented industry best practices and standards to ensure… Show more • Developed and maintained efficient data pipelines for ingestion, transformation, and loading of large and complex data sets into the Redshift data warehouse. • Worked closely with cross-functional teams to understand business requirements and translate them into technical specifications for data pipelines. • Assisted software developers and data analysts in their data initiatives, providing expertise and support. • Implemented industry best practices and standards to ensure consistent data delivery architecture across the organization. • Utilized SQL (MySQL/PostgreSQL) and Python for data processing, scripting, and automation. • Streamlined data extraction, transformation, and loading processes using ELT/ETL tools and frameworks. • Leveraged tools such as Fivetran, Meltano, and dbt for efficient data ingestion, loading, and transformation into Redshift. • Implemented data quality checks and validation processes to maintain data accuracy and integrity. • Resolved issues related to data pipelines and data ingestion processes. • Stayed updated with the latest trends and technologies in data engineering, identifying opportunities for process improvement and optimization.• Collaborated with fellow data engineers and stakeholders to enhance data infrastructure and architecture. Show less

India

Worked under the guidance of industry experts and completed two data science projects during thisinternship.● The objective of the first project was to develop a scientifically data-driven system to automatedecisions and processing for stronger and quicker underwriting for bank applications and in order toachieve the objective I created a supervised machine learning model that can predict whether theperson will back the lended amount or not, the accuracy of the model was… Show more Worked under the guidance of industry experts and completed two data science projects during thisinternship.● The objective of the first project was to develop a scientifically data-driven system to automatedecisions and processing for stronger and quicker underwriting for bank applications and in order toachieve the objective I created a supervised machine learning model that can predict whether theperson will back the lended amount or not, the accuracy of the model was 93%.● I created a language translation model that can translate stories from Hindi to English. VariousNatural language processing techniques were used to achieve this objective. Transfer learning wasused to train the translation model. I used Word2vec to attain word embeddings and cosine similarityto find the distance between various words. Show less

Master Of Science - Ms, Data Science

Bca, Computer Programming