Maadhur Sabherwal

Data Engineer

Highgate, Western Australia, Australia5 yrs 6 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Reduced ETL latency by 40% using Microsoft Fabric.
  • Achieved 98% data quality across multi-terabyte Lakehouse.
  • Delivered executive-level Power BI dashboards with 200+ KPIs.
Stackforce AI infers this person is a Data Engineering and Analytics expert with experience in cloud platforms and data-driven decision-making.

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Skills

Core Skills

Data EngineeringCloud ArchitectureData VisualizationData ScienceData AnalyticsMechanical Design

Other Skills

ADFAmazon Web Services (AWS)Apache SparkArtificial IntelligenceAutoCADAzure Data LakeBERTChatbot DevelopmentComputer-Aided Design (CAD)DBTDataData AnalysisData ArchitectsData GovernanceData Lakes

About

Data Engineer with a proven track record of architecting and scaling modern data platforms across Azure and AWS. I design and build enterprise‑grade data pipelines, warehouses and analytics solutions that accelerate decision‑making and deliver measurable results. Recently, I cut ETL latency by 40 percent and raised data quality to 98 percent by implementing Microsoft Fabric, Azure Data Factory and NiFi pipelines across a multi‑terabyte Lakehouse. I have built cost‑optimized, secure data lakes and warehouses that scale to billions of rows while reducing cloud spend by 30 percent using Apache Kafka‑based streaming and automated governance. Passionate about translating data into business value, I lead cross‑functional teams to deliver insights that matter. I have delivered executive‑level Power BI dashboards with 200+ KPIs, designed robust dimensional models, and optimized SQL and Python workloads. I coach developers on best practices and champion data quality and governance. Holding certifications including SnowPro Core, Confluent Data Streaming Engineer and Microsoft Azure Data Engineer, I’m ready to drive data strategy and innovation for organizations seeking to unlock insights at scale.

Experience

Bgc (australia) pty ltd

Data Engineer

Jan 2023Present · 3 yrs 2 mos · Australia · On-site

  • I design and scale governed data platforms that enable accurate, trusted, and high-value analytics across the enterprise. My work focuses on modern data engineering, semantic modelling, and improving operational decision-making through certified data products.
  • Key Impact:
  • Modernised ETL pipelines across Fabric, ADF, PySpark, Lakehouse, and NiFi, reducing runtimes by 40% and improving refresh reliability by 60%.
  • Architected and governed a Fabric Lakehouse with SCD2 upserts, schema evolution, lineage, and automated audit trails to support enterprise analytics.
  • Built a single source of truth by integrating data from SoftTech V6, QAD, Universe, Cheops, Mex, and ADP, improving visibility for Finance, Sales, Operations, and HR.
  • Led Midland Brick data warehouse migration from on-prem SQL to Fabric Lakehouse, including data movement, regression testing, UAT coordination, and optimisation.
  • Optimised executive Power BI dashboards, improving performance by 60% and increasing leadership adoption and self-service capability.
  • Reduced cloud infrastructure spend by ~25% through Fabric capacity tuning, cost-aware data lake design, and automated usage monitoring.
  • Strengthened security governance by automating Active Directory reconciliation, MFA compliance monitoring, and payroll-linked account deactivation for 2,000+ users.
  • Delivered advanced reporting for Quote Margin and BOM analytics, enabling real-time profitability insights across manufacturing and sales workflows.
  • Resolved 200+ high-priority data requests across ERP and BI platforms, improving operational turnaround times and reducing business bottlenecks.
  • Earlier contributions included designing foundational ETL frameworks, developing ADF and NiFi pipelines, and co-creating the first wave of enterprise dashboards.
Microsoft AzureApache SparkMicrosoft Power BIPython (Programming Language)Data ArchitectsData Loading+3

Inx software

Associate Data Engineer

Jan 2022Jan 2023 · 1 yr · Perth, Western Australia, Australia · Hybrid

  • Standardized and automated data workflows across teams by applying DataOps principles; improved reusability and reduced deployment cycles by 50%.
  • Built and maintained cloud-native ETL pipelines using Python, DBT and Snowflake, cutting processing times by 90% and slashing operational costs.
  • Integrated data from multiple mining and workforce systems, ensuring data accuracy and compliance while enabling advanced analytics across the organization.
  • Implemented CI/CD pipelines and proactive monitoring for data products, improving reliability and decreasing production incidents.
  • Designed and maintained SQL data warehouses and lakehouse solutions on Azure and AWS, empowering self-service analytics and reporting for business users.
  • Conducted knowledge-sharing sessions and mentored junior team members to foster a culture of continuous improvement.
SQLIntegrationDBTSnowflakeExtract, Transform, Load (ETL)SQL Server Integration Services (SSIS)+8

Aiquist

Data Science Intern

Jul 2021Dec 2021 · 5 mos · Sydney, New South Wales, Australia

  • 1. Health Data Analysis and Machine Learning:
  • Worked extensively with health data to extract valuable insights, developing various machine learning algorithms within a pipeline. My primary responsibility was to create a data science pipeline using trending NLP and machine learning techniques.
  • 2.Health Monitoring Project: Contributed to a health monitoring project by utilizing various predefined models such as LSTM and Time Series predictions using ARIMA, SARIMA, SARIMAX, and FB Prophet. Also employed the Light Gradient Boosting Machine for advanced predictive analytics.
  • These experiences have allowed me to delve deeper into the realm of data science and machine learning, particularly in the healthcare sector, and have equipped me with the skills to handle complex data sets and develop sophisticated predictive models.
Time Series AnalysisFb prophetTweet analysisDeep LearningData AnalysisBERT+4

Kpmg australia

Data Analytics Consulting Virtual Internship

Oct 2020Jul 2021 · 9 mos · Australia

  • Data Analytics Consulting VIRTUAL Internship (October 2020 - July 2021):
  • 1. Data Quality Assessment: Identified data quality issues and strategized mitigation plans. Utilized tools such as Excel and Power BI for this task.
  • 2. Data Insights: Conducted in-depth data analysis to help the company target 1000 new customers, thereby driving significant value for the organization. My insights assisted the marketing team in boosting business operations. I prepared a detailed approach for completing the analysis, which included understanding data distributions, feature engineering, data transformations, modeling, results interpretation, and reporting.
  • 3, Data Insights and Presentation: Created a comprehensive Power BI dashboard that provided answers to key business questions such as:
  • What are the trends in the underlying data?
  • Which customer segment has the highest customer value?
  • What should be Sprocket Central Pty Ltd’s marketing and growth strategy?
  • What additional external datasets could provide greater insights into customer preferences and propensity to purchase products?
  • This internship allowed me to apply my data analytics skills in a real-world context, providing valuable insights to drive business growth.
Statistical Data AnalysisData VisualizationData ScienceData AnalysisMicrosoft Power BIData+2

Ray enterprise

Mechanical Design Engineer

Feb 2018Feb 2019 · 1 yr · Ambala, Haryana, India

  • 1. Product Design with AutoCAD and SolidWorks:
  • Utilized AutoCAD and SolidWorks to design a wide range of lighting products, including but not limited to flood lights, LED Type Chart Table Light Fitting, Mariane LED Pendant Light, LED Flat Light, Mariane LED Based Emergency Bulkhead Light Fitting, LED Based Automatic Emergency Lantern, LED Based Portable Battery Emergency Lantern, LED Based Bunk Light, LED Based Emergency Bulkhead Light Fitting, LED Mirror Light, LED High Bay Light, LED Desk Light, LED Flood Light (60W and 90W), Mariane LED Portable Hand Lamp, Marine LED Downlight, and LED Weather Deck Light IP-65. All these products are approved by the Government of India and have an IP 65 rating.
  • These products have found extensive use in various organizations and establishments across India including:
  • 1. DGQA (Armament Stores)
  • 2. DGQA (Vehicles Stores)
  • 3. DGQA (Marine Stores)
  • 4. D M D Establishment, Secunderabad
  • 5. C I P R O , Mumbai and Visakhapatnam
  • 6. Mazagon Dock Limited, Dockyard Road Mazgaon, Mumbai
  • 7. Goa Shipyard Limited, Vasco da Gama, Goa
  • 8. Garden Reach Shipbuilders & Engineers Limited, Kolkata
  • 9. Hindustan Shipyard Limited, Visakhapatnam
  • 10. Ship Building Center, Visakhapatnam
  • 11. Heavy Vehicles Factory, Avadi, Chennai
  • 12. Ordnance Factory & Opto-Electronics Factory, Dehra Dun
  • 13. Ordnance Factory Project, Yeddumailaram, Medak Distt.
  • 14. Ordnance Factory Khamaria, Jabalpur
  • 15. Gun Carriage Factory, Jabalpur
  • 16. Small Arms Factory, Kanpur
  • 17. I. R. D. E., Dehradun
  • 18. Central Ordnance Depot, Delhi Cantt.
  • 19. Central Ordnance Depot, Agra Cantt.
  • 20. Central Ordnance Depot, Khadki, Pune
  • This experience has allowed me to apply my design skills in practical applications and contribute to various critical projects across the country.
Computer-Aided Design (CAD)AutoCADSOLIDWORKSMechanical Design

Capitalvia global research limited - investment advisor

Client Acquisition Manager

Jun 2017Oct 2017 · 4 mos · Indore, Madhya Pradesh, India

  • Client Acquisition Manager at CapitalVia Global Research Limited :
  • With a solid understanding of the capital market, I joined CapitalVia Global Research Limited as a Client Acquisition Manager. My responsibilities included:
  • 1.Client Acquisition and Retention**: Focused on acquiring new clients and retaining existing ones, ensuring a steady growth in the client base.
  • 2.Relationship Management**: Maintained and developed good relationships with clients through personal contact, meetings, or via telephone support.
  • 3.Sales and Support: Responsible for selling the company's services to clients via phone and providing technical and fundamental support of the stock market.
  • 4.Market Monitoring: Kept a close eye on open trades and market movements, playing the role of a mediator between the client and researchers of CV.
  • 5.Market Research: Conducted online market research to identify prospective geographies, industries, and companies, and prepared strategies for approach.
  • 6.CRM Management: Maintained client information in CRM and kept regular updates with Financial (Shares & Commodity) market movements.
  • 7.Teamwork and Leadership: Worked well in a team, providing leadership when needed.
  • 8.Sales Target Achievement**: Consistently met sales targets by effectively filtering potential clients from all available prospects.
  • 9.Client Relationship Management**: Maintained strong relationships with clients, handling both Domestic & International HNI clients.
  • This role allowed me to leverage my knowledge of the capital market to drive client acquisition and retention, while also honing my skills in relationship management, sales, and support.

Education

Macquarie University

Master of DataScience — Data science

Feb 2020Dec 2021

Kurukshetra University

Bachelor of Technology (BTech) — Mechanical Engineering

Jun 2013Jun 2018

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