Data Engineer Google Cloud

Siddhant Mukherjee

Data Engineer / GCP Engineer/ ETL Developer

Google Cloud Data Engineer with nearly 3 years of experience in building scalable data solutions. Data Engineer specializing in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Dataproc) with expertise in building scalable pipelines, optimizing data warehousing, and enabling data-driven decision- making.

*********************@*****.*** +91-766******* Pune, India WORK EXPERIENCE

Data Engineering, Management, and Governance

Analyst

Accenture

12/2022 - Present, Pune,Maharashtra

Quality Champions Award from Client.

Best Performer award by supervisor.

Best People Recognition From Manager.

Obtained P4(Advanced proficiency in BigQuery).

PROJECTS

1.Cadbury Mondelez International-INBOUND DAMAGES (08/2023) Developed and automated Talend ETL jobs for the Inbound Damages project, enabling seamless ingestion of incremental and historical data from SAP and SharePoint into Google Cloud BigQuery. Streamlined stored procedure execution within BigQuery using Talend orchestration, improving data pipeline efficiency and reliability.

2.Cadbury Mondelez International- Lighout Brazil Ingestion Project

(2024)

Worked with the Brazil Data Ingestion team to implement and automate diverse ingestion strategies using Talend, DBeaver, and a custom framework. Ensured data accuracy and consistency by testing and deduplicating records in BigQuery. 3.Cadbury Mondelez International-Digital Procurement

(2024 - Present)

Optimized BigQuery queries with partitioning, improving runtimes by 40%. Migrated legacy ETL/SQL processes to GCP and Talend, managing data in GCS

(CSV, Parquet, JSON). Automated Talend jobs with DIAT approvals. Used GitHub for CI/CD and DBeaver for validation. Authored TDDs, runbooks, and conducted unit testing in dev/QA.

SKILLS

Programming: Python, SQL, Java

Databases: MySQL, PostgreSQL, SQL Server

NoSQL Databases: MongoDB

ETL & Data Pipelines: Apache Airflow, Talend

Cloud Platforms: Google Cloud Platform

(BigQuery, Dataflow, Pub/Sub, Dataproc)

Data Warehousing: BigQuery

Data Lake & Lakehouse: Delta Lake, Apache

Iceberg

DevOps & Infrastructure: CI/CD (GitHub

Actions, Jenkins)

Data Quality & Governance: Lineage,

cataloging, security, GDPR/PII compliance

Monitoring & Logging: Prometheus, Grafana,

ELK stack

Business Understanding: Mapping data

needs to business goals

CERTIFICATIONS

1.Google Cloud Associate Cloud Engineer

2.Google Cloud Digital Leader

ORGANIZATIONS

HighRadius (05/2021 - 06/2021)

Internship

LANGUAGES

English

Professional Working Proficiency

HIndi

Full Professional Proficiency

Bengali

Full Professional Proficiency

Achievements/Tasks

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