Summary
Overview
Work History
Education
Skills
Certification
Project Management | Class Projects:
Capstone | HealthCare Chabot System:
Timeline
Generic
KARISHMA MOHAMMED

KARISHMA MOHAMMED

Manchester,NH

Summary

  • Leveraged a results-oriented approach and 3+ years of experience to design, develop, and maintain databases within the Enterprise Data and Business Intelligence (EDBI) domain, driving data-driven decision-making through meticulous database design and optimization strategies.
  • Collaborated with cross-functional teams to align database initiatives with organizational goals, integrating diverse data sources and implementing data modeling techniques to transform raw data into meaningful insights, ensuring data integrity and consistency throughout the pipeline.
  • Demonstrated proficiency in analyzing complex data structures, developing innovative solutions to enhance data accessibility, reliability, and performance, and optimizing data pipelines and processes for scalability and efficiency, addressing bottlenecks to enhance system reliability.
  • Implemented scalable data pipelines on Azure using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other relevant tools, while integrating structured and unstructured data from internal and external systems, ensuring seamless data flow and interoperability.
  • Implemented data governance best practices and security measures to safeguard sensitive data assets, ensuring compliance with regulatory requirements and industry standards, and collaborated closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver tailored solutions.
  • Documented data pipelines, workflows, and technical specifications, and provided ongoing support and maintenance to ensure system stability and reliability, while staying abreast of emerging technologies and trends in data engineering and the Azure ecosystem.
  • Passionate about continuous learning and professional development, dedicated to staying abreast of emerging technologies and industry trends to deliver cutting-edge solutions and drive organizational success, while proactively identifying opportunities for innovation and optimization.
  • Combined expertise in database design, implementation, and optimization with a strong focus on driving data-driven decision-making and delivering tailored solutions aligned with business requirements, contributing to the success of the organization through effective collaboration and innovation.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data Engineer

Rice University
Houston, TX
11.2023 - Current
  • Conducted thorough research to evaluate database products, services, protocols, and standards, providing valuable insights to inform procurement and development decisions.
  • Developed and implemented complex data table structures, forms, reports, and queries to enhance data accessibility and usability within the organization.
  • Collaborated with technical teams to design and build data warehouses and data lakes, fostering efficient data management and analysis processes.
  • Identified and addressed inefficiencies in existing databases, proactively investigating and implementing solutions to optimize performance and reliability.
  • Diagnosed and resolved database access and performance issues, ensuring uninterrupted access to critical data resources for organizational operations.
  • Orchestrated data migrations between systems, meticulously planning and coordinating to minimize disruptions and maintain data integrity.
  • Established and maintained change control and testing processes, ensuring the integrity and reliability of database modifications while adhering to best practices.
  • Developed and maintained data pipelines and code from heterogeneous source types, facilitating seamless data integration and accessibility across platforms.

Data Engineer

ACCENTURE
Hyderabad, Telangana
02.2020 - 12.2021
  • Designed, developed, and maintained scalable data pipelines on Azure using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other relevant tools.
  • Implemented data modeling techniques to transform raw data into meaningful insights, ensuring data integrity, quality, and consistency throughout the pipeline.
  • Integrated diverse data sources, including structured and unstructured data, from internal and external systems, ensuring seamless data flow and interoperability.
  • Optimized data pipelines and processes for performance, scalability, and efficiency, addressing bottlenecks and enhancing overall system reliability.
  • Implemented data governance best practices and security measures to safeguard sensitive data assets, ensuring compliance with regulatory requirements and industry standards.
  • Collaborated closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver tailored solutions that address business needs.
  • Documented data pipelines, workflows, and technical specifications, and provided ongoing support and maintenance to ensure system stability and reliability.
  • Stayed abreast of emerging technologies, trends, and best practices in data engineering and Azure ecosystem, and proactively identified opportunities for innovation and optimization.
  • Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse.
  • Designed and developed reports using Business Objects, Tableau, Qlikview.

Education

MASTER OF SCIENCE - INFORMATION TECHNOLOGY

Southern New Hampshire University
04.2023

MBA -

Osmania University
Hyderabad Telangana
08-2019

Bachelor Of Computers -

Osmania University
05.2017

Skills

  • Programming Languages: Python, SQL, Scala
  • ETL Tool: Informatica Data Management Cloud
  • Azure Services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, Azure SQL Database, Azure Blob Storage
  • Data Visualization Tools:Power BI, Tableau
  • Machine Learning Concepts and Frameworks:TensorFlow, PyTorch
  • Big Data Technologies:Hadoop, Spark,Kafka
  • Version Control systems: GIT
  • DevOps Practices: CI/CD pipelines
  • Predictive Modeling:NLP,Machine Learning
  • cloud data platform: Snowflake , Azure

Certification

  • University of Michigan – Python for Everybody (Specialization) | Python Data Structures.
  • University of Colorado Boulder Communicating Business Analytics Results.
  • University of Colorado Boulder – Business Analytics for Decision making AWS Fundamentals by Amazon Web Services.
  • University of Duke – Cloud Data Engineer.

Project Management | Class Projects:

  • Assisted in defining project scope, goals, and deliverables, ensuring project alignment with stakeholder expectations, resulting in a 95% satisfaction rate from project stakeholders.
  • Conducted research and data analysis to support project deliverables and provided recommendations to the team based on findings, resulting in a 10% improvement in project outcomes.
  • Contributed to the development of project plans for a 12-week class project, including schedules, budgets, and resource allocation, ensuring timely completion of project deliverables within budget.
  • Communicated project updates and status reports to the team and professor on a weekly basis, ensuring alignment with project goals and objectives and earning positive feedback from the professor.

Capstone | HealthCare Chabot System:

  • Contributed to the creation of a healthcare chatbot system driven by AI that offers instantaneous health counseling, symptom checking, and disease diagnosis. features that have been implemented include organizing doctor appointments, keeping tabs on users' health, and providing individualized recommendations.
  • Developed the user interface, integrated the system with external APIs, implemented the natural language processing (NLP) module to comprehend user inquiries, and integrated the chatbot system with the electronic health record (EHR) system as contributions to the development of a healthcare chatbot system. Added the module for scheduling appointments, checked for legal compliance, and tested for accuracy and security of the system.

Timeline

Data Engineer

Rice University
11.2023 - Current

Data Engineer

ACCENTURE
02.2020 - 12.2021

MASTER OF SCIENCE - INFORMATION TECHNOLOGY

Southern New Hampshire University

MBA -

Osmania University

Bachelor Of Computers -

Osmania University

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KARISHMA MOHAMMED