Ravi Lathar

Software Engineer

Sydney, NSW, Australia12 yrs 7 mos experience
Highly Stable

Key Highlights

  • Expert in building cloud data warehouses on Azure.
  • Proven track record in designing data solutions for financial services.
  • Strong background in ETL processes and data integrity.
Stackforce AI infers this person is a Data Engineering expert in the Fintech sector.

Contact

Skills

Core Skills

Data EngineeringCloud ComputingEtl

Other Skills

Azure Data FactoryAzure DatabricksMicrosoft AzureClient RelationsData PipelinesComputer ScienceData ModelingData Warehouse ArchitectureProgrammingData StructuresSoftware EngineeringContinuous Integration and Continuous Delivery (CI/CD)Azure SQLData EngineerDevOps

About

Hello! I’m a Senior Data Professional dedicated to the art and science of data. My expertise in organizing, processing, and storing data is backed by years of experience and a deep passion for the field. I specialize in designing, testing, and maintaining advanced data management systems using top-notch technologies like Azure & Databricks. Pyspark is my trusted companion. My focus is always on transforming data into actionable insights. Crafting clean data pipelines and diving deep into databases to uncover trends is my daily job. Additionally, I incorporate DevOps practices to streamline data operations, ensuring they are smooth and effective. I’m passionate about making meaningful connections and collaborating on exciting projects. Whether you're a fellow data enthusiast, a recruiter, or someone curious about what data can do for your business, let’s connect! 🔗

Experience

12 yrs 7 mos
Total Experience
3 yrs 9 mos
Average Tenure
1 yr 2 mos
Current Experience

Ngm group

Senior Data Engineer

Mar 2025Present · 1 yr 2 mos · Greater Sydney Area · On-site

  • Working as a Senior Data Engineer, building a digital cloud data warehouse on Azure for the NGM Group Bank.
Azure Data FactoryAzure DatabricksData EngineeringCloud Computing

Credit suisse

Senior Data Engineer

Oct 2021Jan 2025 · 3 yrs 3 mos · Pune, Maharashtra, India · On-site

  • In my role as Azure Data Engineer at Credit Suisse, I had the incredible opportunity to design and implement
  • comprehensive data solutions on the Azure platform. My focus was on creating seamless processes for data ingestion, storage, processing, and analytics that not only met but exceeded our business needs. We have built an in-house application – ARC (ARISK on Cloud), calculating VaR for Risk managers (Market Risk Space).
Azure Data FactoryAzure DatabricksData EngineeringCloud Computing

Wipro limited

Data Engineer

Dec 2017Oct 2021 · 3 yrs 10 mos · Pune Area, India · On-site

  • Client : Credit Suisse
  • In my role as an ETL Data Engineer at Wipro, I had the privilege of working on a significant project for Credit Suisse, focusing on the development and maintenance of a robust Risk Data Store. My primary responsibilities included leveraging ETL tools, particularly Informatica, to design and implement data workflows that ensured the accurate and timely processing of critical financial data.
Microsoft AzureClient RelationsData EngineeringETL

Infosys

Senior System Engineer

Aug 2013Dec 2017 · 4 yrs 4 mos · Pune Area, India · On-site

  • Client : Deutsche Bank (DB) & Bank of America (BoFA)
  • Deutsche Bank (Regulatory Reporting) & Bank of America (Integration with Merril Lynch)
  • During my tenure as a Data Engineer at Infosys, I had the privilege of contributing to significant projects for industry leaders such as Deutsche Bank and Bank of America. My primary focus was on designing and implementing robust ETL processes using Informatica, which played a crucial role in ensuring data accuracy and integrity across various systems.
Client RelationsData PipelinesData EngineeringETL

Education

Maharishi Markandeshwar (Deemed to be University) Official

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2008Jan 2012

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