shruti chikode

Angestellt, Data Engineer, Kantar GmbH

unterschleißheim, munich, Deutschland

Über mich

Self-motivated, results-driven Data Engineer with 6 years of experience in IT Industry which includes experience in analysis, design, predictive modeling, maintenance and support projects. Worked in various domains including Banking- Corporate and Retails, Money Laundering prevention, Council tax. My key areas are data extraction and management, development, and setting the data in the pipeline.

Fähigkeiten und Kenntnisse

Python
Machine Learning
Spark
SQL
PL/SQL
airflow
DevOps
Reliability
Team player
self-motivated
Analytical thinker
results-oriented
detail oriented
attention to detail

Werdegang

Berufserfahrung von shruti chikode

  • Bis heute 1 Jahr und 9 Monate, seit Okt. 2022

    Data Engineer

    Kantar GmbH

    • Design and build data pipelines that are reliable, scalable and extensible for batch processing of high-frequency data • Scheduling the pipelines using data factory triggers to execute at regular intervals • Deployment of data factory for creating data pipelines to orchestrate the data into SQL database • Designing and implementation of data lakes • Analyzing and troubleshooting existing Azure data pipelines to minimize downtime • Maintaining customer data in Azure Data Lake Storage for analytical purpose

  • 1 Jahr und 3 Monate, Feb. 2021 - Apr. 2022

    AZURE DATA ENGINEER

    Persistent Systems

    • Analysis, Design, Development, Testing, and Documentation of Unix build applications to spark applications using Azure Cloud technologies. • Development of automated script and invocation of triggers for downstream workflows in Apache Airflow. • Creation of Dynamic DAGs (Directed Acyclic Graph) and triggered downstream DAG in Apache Airflow • Worked upon Azure BLOB and data lakes storage for loading data into Azure Data Warehouse(Synapse) • Automation testing using python testing frameworks such as pytest

  • 1 Jahr und 5 Monate, Okt. 2019 - Feb. 2021

    JUNIOR DATA ENGINEER

    Rave Technologies

    • Collect, clean, and pre-process data to ensure data accuracy and completeness. • Organize and manage data of diverse types and variety of sources. • Experienced in Data Visualization and Modelling using Pyspark. • Design, build, and maintain scalable and robust data pipelines. • Performed ETL from the source system to Azure Data Storage services using Azure data factory and Spark SQL. • Monitoring data pipelines and performing regular quality checks to ensure data accuracy and reliability

  • 3 Jahre und 7 Monate, Sep. 2015 - März 2019

    Software Developer

    3i-Infotech

    • Interaction with the clients and business teams for requirement gathering for the various maintenance and deployment activities in the project. • Performance tuning of complex SQL queries. • Development of oracle objects like procedures, packages, and triggers. On-site Support (Bahrain): • Resolved banking services issues faced by users and end customers. • Provided ticket based to accommodate fast-paced banking services. • Prioritizing and planning various banking issues raised by multiple users

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Grundlagen

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