Summary
Overview
Work History
Education
Skills
Timeline
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Sambhaw Sharma

Data Engineer

Summary

Experienced with designing and optimizing data pipelines to ensure seamless data flow. Utilizes advanced SQL and Python skills to create and maintain robust data architectures. Track record of implementing scalable solutions that enhance data integrity and support informed decision-making.

Overview

4
4
years of professional experience

Work History

Data Engineer

Amazon
07.2021 - Current
  • Company Overview: Contract position as a Data Engineer
  • Interacting with the TPM and customers, gathering requirements, and delivering complete reporting solutions based on the principle of customer focus, ownership, urgency, and drive
  • Extracting data from various sources such as databases, APIs, and log files, and transforming it into a usable format for analysis and processing using AWS services.
  • Building and delivering high quality datasets to support business analyst and customer reporting needs
  • Perform end-to-end Architecture & implementation assessment of various AWS services like IAM, Amazon S3, RDS, Redshift and Sage maker, EMR, Glue, Athena, Kinesis, DMS, SQS, Lambda and Cognito to provide business Solutions
  • Actively writing the python scripts for Data Acquisition, Data Manipulation and Data Modelling and creating Data pipelines
  • Applying Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture to Build robust and scalable data integration (ETL) pipelines in Agile development process
  • Designed and created RDBMS Tables, views, User created data types, Indexes, Stored Procedures, Cursors, Triggers and performed Data modeling
  • Also performed optimization technique for existing pipeline and queries.
  • Instantiated, created, and maintained CI/CD Pipelines and applied automation to environments and applications.
  • Worked on automation tools like GIT to deploy Packages in Test and production environment and perform end to end testing.
  • Working with the BI teams and implementing Knowledge on using business intelligence reporting tools –Quick Sight
  • Extensively doing troubleshooting and problem-solving, combined with the ability to present your findings/insights clearly and compellingly in both verbal and written form
  • Create proof of concepts and working models for technical feasibility studies of using latest features in technologies like AWS, python, REST API and various Databases etc
  • Played an integral role in collaborative candidate evaluation for data Engineer positions, working closely with hiring managers, cross-functional teams, and subject matter experts to assess candidates' proficiency in big data technologies, Python, SQL, Spark, and AWS Services and behavioral evaluation


Research Volunteer

University of Maryland Baltimore County
02.2021 - 07.2021
  • Company Overview: Research Volunteer position
  • Gathering data and conducting in-depth analysis to establish connections between diverse datasets
  • Undertaking data cleaning and preparation tasks for exploratory data analysis using Pandas, NumPy, Matplotlib, and GeoPandas
  • Utilizing various machine learning algorithms to conduct simulations for predicting criminal and police activities
  • Conducting case-based studies on racial bias within machine learning models and summarizing the findings for publication as a research paper

Education

Master of Science - Information Systems

University of Maryland Baltimore County
Baltimore, MD

Bachelor of Engineering - undefined

Chhattisgarh Swami Vivekanand Technical University

Skills

ETL development

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Timeline

Data Engineer

Amazon
07.2021 - Current

Research Volunteer

University of Maryland Baltimore County
02.2021 - 07.2021

Bachelor of Engineering - undefined

Chhattisgarh Swami Vivekanand Technical University

Master of Science - Information Systems

University of Maryland Baltimore County

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Sambhaw SharmaData Engineer