Karmaveer Sharma

Data Engineer

• Job Details:Designed and implemented scalable data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources into actionable insights. Collaborated with cross-functional teams including data scientists, analysts, and software engineers to support data-driven decision-making. Designed and developed ETL pipelines to process large datasets using Python and Apache Spark, resulting in improved data accuracy. Working on Databricks tool and internal tool Fosfor (ETL, BI tools and Python IDE). Created dashboards and visualizations to communicate insights to non-technical stakeholders using Tableau and Power BI. Collaborated with cross-functional teams to improve data collection processes and optimize business operations.

Data Engineer

• Job Details:Analyzed data and drew graphs and charts with the help of visualization library of Python like Matplotlib & Seaborn and tools like Tableau and Power BI. Successfully interpreted data to identify key metrics and draw conclusions to boost sales. Conducted exploratory data analysis on large datasets to identify trends and patterns working for an e-commerce company. Analyzed data, found out the trends and business insights. Analyzed the competitor’s product review (data is provided by the client), web scraping using Beautiful Soup library of Python.

Business Executive

• Job Details:Monthly revenue, quarterly sales, yearly website traffic, and so on. Comparing data sets to identify dependencies and patterns, determine and recommend the cause of a positive or negative outcome. Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.