Mayuri Gaikwad

Data Engineer

Mumbai, Maharashtra, India4 yrs 9 mos experience

Key Highlights

Proficient in diverse GCP services and technologies.
Expert in designing data fusion pipelines from scratch.
Skilled in automating workflows using Airflow DAG.

Stackforce AI infers this person is a Data Engineering expert specializing in Google Cloud Platform solutions.

Contact

gaikwadmayuri2024@gmail.com LinkedIn

Skills

Core Skills

Google Cloud Platform (gcp)Data Engineering

Other Skills

Airflow DAGBig DataBigQueryBigQuery AnalyticsCloud DataflowData ArchitectureData Mining & AnalysisData ModelingData Pipeline DevelopmentData ScienceData WarehousingData architectureData governanceData pipelinesDataFusion

About

I am a multifaceted professional, GCP Data Engineer with nearly 3,5+ years of hands-on experience in designing and implementing robust data solutions on Google Cloud Platform (GCP). Proficient in a wide range of GCP services and technologies, including DataFusion, Google Cloud Storage (GCS), BigQuery, and Airflow DAG, among others. Extensive experience in utilizing PySpark, Dataproc clusters, Cloud Dataflow, and Apache Beam for efficient data processing, analysis, and transformation tasks. Skilled in Cloud Shell for various administrative tasks and service deployments, demonstrating proficiency in Cloud infrastructure management. Proven ability to design and develop data fusion pipelines from scratch, ensuring efficient data ingestion, processing, and validation for downstream analytics. Experienced in automation using Airflow DAG for streamlining data workflows, enhancing operational efficiency, and ensuring timely execution of data processing tasks.

Experience

Fractal

Data Engineer

Jan 2025 – Present · 1 yr 2 mos · Pune, Maharashtra, India · Hybrid

_vois

Assistant Manager

Sep 2022 – Jan 2025 · 2 yrs 4 mos · Pune, Maharashtra, India

Currently implementing and overseeing data solutions utilizing GCP services such as
DataFusion, GCS, BigQuery, and Airflow DAG.
Employing PySpark and Dataproc clusters for optimizing data processing and
analysis procedures
Continuously enhancing data quality and integrity by crafting generic file validation
code in PySpark.
Engaged in automating data workflows through Airflow DAG to streamline operations
effectively.
Leading and mentoring a team of data engineers, fostering a collaborative and high-
performing work environment.
Designing and implementing robust data architectures to support business
objectives.
Developing scalable and efficient data pipelines for ingesting, processing, and
transforming large volumes of structured and unstructured data.
Utilizing advanced analytics techniques such as machine learning and predictive
modeling to derive actionable insights from data.
Collaborating with data scientists and business stakeholders to identify opportunities
for value creation.
Optimizing data processing and analytics workflows for performance and cost
efficiency.
Establishing and enforcing data governance policies and procedures to ensure
compliance with regulatory requirements and industry best practices.