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Abhijith Pramod

Angestellt, Azure Data Engineer Consultant, Deloitte
Bengaluru, Indien

Fähigkeiten und Kenntnisse

Project Management
MS Office
Consulting
Software Development
Business Contacts
Business Development
Python
SQL
Data Science
ETL
Microsoft Azure
Databricks
Git
Apache Spark
Scala
Microsoft Power BI
Team work
Communication skills
Reliability

Werdegang

Berufserfahrung von Abhijith Pramod

  • Bis heute 1 Jahr und 6 Monate, seit Jan. 2024

    Azure Data Engineer Consultant

    Deloitte

    Designed & developed Power BI Dashboard for analysing & monitoring cell Activity for the closing before SLA. Automation of Test Scripts via databricks, Pyspark / Scala. Created Automated Workflows in Databricks: Developing an End-to-End ETL Solution Using Medallion Architecture in Azure Databricks with Logging Capabilities and Exception Handling.

  • 1 Jahr und 11 Monate, Feb. 2022 - Dez. 2023

    D&A Engineer

    Experion Technologies

    Developing & Testing ETL Pipeline in Informatica Using IICS Application Integration & Data Integration Services. Developed and maintained a Power App application. Implementing Automation Workflows in Power Automate Data Analysis, Report Generation & Dashboard Testing for an E-Commerce Super Store.

  • 1 Jahr und 3 Monate, Nov. 2020 - Jan. 2022

    Project Development Manager

    Dax Ads

    Part of the founding members of the organisation. Managed and educated a team of 7+ developers. Communicated complex technical concepts to non-technical stakeholders in a clear and concise manner, resulting in increased understanding and buy-in for data-driven initiatives.

Ausbildung von Abhijith Pramod

  • 1 Jahr und 11 Monate, Juni 2019 - Apr. 2021

    Data Science

    Christ University

    Developed a website for Gateways 2020 Website Activities and societies: Devconf 2020 Hospitality Management Achieved 3rd place at a state-level science exhibition for a voice-based sentiment analyzer app. Developed a test version of an NLP-driven app to recognize sentiment from human speech. Utilizing Python-based speech-to-text parsing, with Spacy and NLTK for tokenization and lemmatization.

  • 2 Jahre und 11 Monate, Juni 2016 - Apr. 2019

    Mobile Application & Cyber Security

    Jain University

    Developed a mobile application with a real-time chat feature between a doctor and patient using Firebase in Android native using Android studio also had a section to view available doctors and book slots for consultation with the doctors

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

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