Open to opportunities

Prashant Sharma

@prashantsharma14

Data engineer and analytics consultant with 8+ years building cloud data pipelines, dbt/Airflow architectures, and reliable insights.

United States

Message

What I'm looking for

I’m looking for a role where I can own end-to-end analytics and build/optimize cloud data pipelines—using Airflow, dbt, Snowflake, and strong monitoring—to deliver reliable, high-performance insights.

I’m a highly skilled analytics professional with 8+ years of end-to-end experience delivering analytics projects. I’m proficient in cloud technologies such as GCP, Azure, and AWS, with a strong focus on developing and orchestrating data pipelines for optimal efficiency and performance.

In my recent consulting role, I’ve led migrations from Matillion pipelines to an Airflow → dbt architecture, sourcing data from multiple external systems and loading it into Snowflake while optimizing workflows and preserving data integrity. I’ve also implemented access controls via AWS Secret Manager and set up monitoring using Slack for real-time visibility and accountability across the pipeline.

Earlier, I developed lending risk classification models and recommender systems, using R, SQL, H2O, Tableau, and collaborative filtering techniques to drive targeting and next-best-purchase outcomes. I’ve also built data-driven dashboards and inventory/price analytics workflows, and I bring a strong track record of analytics execution with tools like BigQuery, Snowflake, dbt, and R Shiny.

Experience

Work history, roles, and key accomplishments

Current

Consultant

Current

Tredence Inc.

May 2024 - Present (2 years)

Led migration of an e-signature analytics pipeline from Matillion to an Airflow→dbt architecture, ingesting data from five external systems into Snowflake and optimizing workflow performance. Implemented AWS Secrets Manager access controls and Slack-based monitoring to improve real-time visibility and data integrity.

Apache Airflow DBT Snowflake Matillion Secrets Manager Fivetran Data Integrity SQL

Risk Analytics Manager

Times Internet Private Limited

May 2018 - Apr 2021 (2 years 11 months)

Developed a lending risk classification model (≈71% accuracy) using 130+ variables to segment high/medium/low-risk consumers. Built a recommender system (Apriori + cosine similarity on 800K users) and an income prediction proof of concept to forecast monthly income from credit amount and frequency.

Risk Modeling Gradient Boosting SQL R H2O Tableau Segmentation Recommender Systems Collaborative Filtering Cosine Similarity

Senior Data Scientist

Impact Analytics Private Limited

Mar 2016 - May 2018 (2 years 2 months)

Collected, cleaned, and analyzed daily retail data for ~3,000 SKUs across 800 US stores to derive optimal inventory levels from prior 36-month sales forecasts and current inventory. Built a competitor pricing dashboard to visualize daily prices for identical products using Python and R Shiny.

Inventory Optimization Demand Forecasting SQL Server VBA R Python R Shiny BigQuery Data Cleaning Data Visualization

Trainee Decision Scientist

Mu Sigma Business Solutions

May 2015 - Oct 2015 (5 months)

Analyzed loss points across a manufacturing line for a US healthcare/pharmaceutical plant, supporting operational loss analytics. Used R data tooling (readxl, data.table, dplyr, reshape) to transform and analyze structured datasets for business intelligence.

Business Intelligence Data Analysis R Readxl Dplyr Reshape Manufacturing Analytics data transformation