Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Timeline
Generic

Manoj Renu Kumar

Southbank,Australia

Summary

Innovative and technically strong Data Engineer with 3+ years of experience in designing and delivering scalable, automated data pipelines across cloud platforms. Proven success in building robust data infrastructure, transforming raw and complex datasets into actionable insights, and partnering with business stakeholders to support strategic decisions. Adept in Snowflake, AWS, Python, and SQL, with a strong focus on aligning data engineering practices to enterprise architecture, governance standards, and real-world business outcomes.

Results-driven data professional with keen eye for detail and passion for uncovering actionable insights from data. Proven track record of utilizing data analysis and visualization tools to drive business decisions and optimize processes. Team-oriented with strong focus on collaboration and adaptability, consistently delivering reliable results in dynamic environments.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Data Analyst

University of Melbourne
05.2023 - Current
  • Collaborate across teams to deliver automated AWS pipelines, integrated data workflows, and stakeholder-ready dashboards supporting financial and operational goals.
  • Designed and maintained scalable AWS-based pipelines (Lambda, S3, RDS, Glue) to deliver a single source of truth for Salesforce and CRM systems.
  • Automated ELT processes using Talend Cloud and Snowflake compute, ensuring clean, accurate, and timely data availability for analysis and reporting.
  • Partnered with analytics and digital teams to deliver dashboards (Power BI, Tableau, CRM-A) that improve marketing insights and financial decision-making.
  • Applied best practices in data governance, metadata management, and secure access using IAM and CloudWatch.
  • Collaborated on CI/CD deployment pipelines (Git, CodePipeline, CodeBuild) to support continuous delivery and high availability of analytics tools.
  • Extracted and processed unstructured notes from Salesforce using Python (regex, NLP libraries) to enrich contact records and improve user profiles.
  • Worked closely with Insights teams to define KPIs and align reporting with institutional goals.

Data Engineer

Intelematics
10.2021 - 05.2023
  • Developed pipelines and performed predictive analytics using AWS and Databricks to support data products from IoT, GPS, and other sources.
  • Built, optimised, and maintained big data pipelines processing geospatial and IoT data using Databricks (PySpark), SQL, and AWS services.
  • Architected end-to-end data ingestion frameworks, supporting both real-time and batch processing requirements.
  • Developed automated tools and monitoring solutions for data integrity and anomaly detection across vehicle telemetry streams.
  • Delivered data infrastructure supporting predictive modelling and ML workflows for scenario planning and operational insights.
  • Demonstrated strong independent execution while aligning technical solutions with broader enterprise data strategy.

Data Processor

Maple Plan
03.2021 - 08.2021
  • Ensured accurate data entry and claims processing under NDIS frameworks.
  • Communicated clearly with clients and worked independently to resolve issues.

Business Consultant Internship

Study Melbourne
07.2020 - 08.2020
  • Analysed social media data using Tableau, R, and Google Analytics.
  • Generated reports on engagement, created financial projections, and improved B2C decision-making strategies.

Education

ACS Professional Year Program -

ACS WLI PROFESSIONAL
04.2023

Master of Data Science - undefined

Monash University
12.2020

Bachelor’s - Information Technology

Don Bosco Institute of Technology
07.2018

Skills

  • Cloud Platforms: AWS (Redshift, S3, Glue, Lambda, RDS), Snowflake
  • Data Engineering: ETL/ELT automation, orchestration, DBT, Talend
  • Languages: Python (Pandas, NumPy, Selenium), Advanced SQL
  • Data Architecture: Star/Snowflake schema, Data Lake & Warehouse Design
  • DevOps: Git, CI/CD (CodePipeline, CodeBuild), Monitoring (CloudWatch)
  • Dashboards/BI: Power BI, Tableau, CRM-A, Salesforce

Accomplishments

Got a best Supporting team player Award for the year 2024.

Certification

  • Python Basics by the University of Michigan.
  • AWS Cloud Practitioner
  • DBT Udemy
  • Data Wrangling

Timeline

Data Analyst

University of Melbourne
05.2023 - Current

Data Engineer

Intelematics
10.2021 - 05.2023

Data Processor

Maple Plan
03.2021 - 08.2021

Business Consultant Internship

Study Melbourne
07.2020 - 08.2020

Master of Data Science - undefined

Monash University

Bachelor’s - Information Technology

Don Bosco Institute of Technology

ACS Professional Year Program -

ACS WLI PROFESSIONAL

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Manoj Renu Kumar