Data & Analytics Engineering ? GCP/BigQuery, dbt, Airflow, Snowflake
Aktualisiert am 16.07.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 16.07.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Data Engineering
Business Intelligence
Google Cloud Platform (GCP)
Datawarehouse
dbt
BigQuery
Snowflake
SQL
Python
Analytics Engineering
ETL
elt
Dimensional Modeling
Data Modeling
Data Quality
Data Architecture
Cloud Migration
Power BI
Tableau
Financial Data
Git
English
fluent
German
A1

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 years
2024-08 - now

Founded and built a GCP-native data & analytics engineering studio

Founder & Principal Data Engineer
Founder & Principal Data Engineer
  • Founded and built a GCP-native data & analytics engineering studio; own the full data stack end to end ? BigQuery warehouse design, dbt transformation pipelines, and Airflow/Cloud Composer orchestration. 
  • Designed dimensional models and a single-source-of-truth layer for market, trade, and performance data feeding analytics and backtesting. 
  • Embedded data-quality checks and validation throughout the pipeline to ensure reliable, trustworthy inputs for downstream decisions. 
  • Led all cloud architecture decisions and third-party API integrations, balancing performance against cloud-cost efficiency (TCO). 
  • Delivered flagship application: quantitative trading infrastructure for market-data ingestion, backtesting, execution, and automated risk management. 
on request · Berlin, Germany
5 years 8 months
2018-11 - 2024-06

Architected dimensional data models

Lead Software Engineer
Lead Software Engineer
  • Owned the data infrastructure powering Treasury Workspace ? the reporting and analytics layer serving commodity-trading and fund-administration teams. 
  • Architected dimensional data models (Kimball) and SSOT design across multiple treasury and trading data sources, establishing one trusted reporting foundation and eliminating conflicting reports. 
  • Built and orchestrated production ELT pipelines processing daily trading and fund data, reducing manual intervention. 
  • Embedded automated data-quality checks into the pipeline layer, catching errors before they reached traders, fund accountants, and dashboards ? measurably improving report reliability. 
  • Partnered with trading-desk and fund-operations stakeholders to translate business requirements into scalable analytics solutions, enabling faster and more confident decisions. 
  • Mentored engineers and analysts on dimensional modelling and pipeline best practices, raising delivery quality across the team. 
Fidelity Investments · Bengaluru, India
3 years 2 months
2015-09 - 2018-10

Developed and maintained BI and data-warehouse solutions

Senior Software Engineer
Senior Software Engineer
  • Developed and maintained BI and data-warehouse solutions for fund administration and investment operations, delivering analytics and reporting to business stakeholders. 
  • Built and optimised SQL data models and ETL processes supporting reconciliation and financial reporting. 
Fidelity Investments · Bengaluru, India

Aus- und Weiterbildung

Aus- und Weiterbildung

2006 ? 2010

Bachelor of Technology (B.Tech.), Information Technology

Anna University, Chennai, India

Kompetenzen

Kompetenzen

Top-Skills

Data Engineering Business Intelligence Google Cloud Platform (GCP) Datawarehouse dbt BigQuery Snowflake SQL Python Analytics Engineering ETL elt Dimensional Modeling Data Modeling Data Quality Data Architecture Cloud Migration Power BI Tableau Financial Data Git

Produkte / Standards / Erfahrungen / Methoden

PROFILE

Senior data & analytics engineer with 14+ years building production data platforms, including 9 years at Fidelity Investments owning the data infrastructure behind commodity trading and fund administration. I design GCP-native platforms end to end ? BigQuery warehousing, dbt transformation pipelines, Airflow orchestration, and data-quality frameworks that give teams a trusted single source of truth. Deep expertise in Kimball dimensional modelling, SSOT architecture, and cloud data-warehouse migration. Available immediately for freelance and contract engagements across the European market, working project-based with defined deliverables via my registered entity. 


CORE SKILLS

  • Cloud & Data Platforms: Google Cloud Platform (GCP), BigQuery, Snowflake, Cloud Composer 
  • Pipelines & Orchestration: dbt, Apache Airflow, Airbyte, ELT/ETL, CDC, SCD (Type 1/2) 
  • Modelling & Architecture: Kimball dimensional modelling, SSOT design, data warehousing, data-quality frameworks 
  • Languages & Tools: Python, SQL, Power BI, Git 
  • Domain: Capital markets, commodity trading, fund administration, financial reporting 

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 years
2024-08 - now

Founded and built a GCP-native data & analytics engineering studio

Founder & Principal Data Engineer
Founder & Principal Data Engineer
  • Founded and built a GCP-native data & analytics engineering studio; own the full data stack end to end ? BigQuery warehouse design, dbt transformation pipelines, and Airflow/Cloud Composer orchestration. 
  • Designed dimensional models and a single-source-of-truth layer for market, trade, and performance data feeding analytics and backtesting. 
  • Embedded data-quality checks and validation throughout the pipeline to ensure reliable, trustworthy inputs for downstream decisions. 
  • Led all cloud architecture decisions and third-party API integrations, balancing performance against cloud-cost efficiency (TCO). 
  • Delivered flagship application: quantitative trading infrastructure for market-data ingestion, backtesting, execution, and automated risk management. 
on request · Berlin, Germany
5 years 8 months
2018-11 - 2024-06

Architected dimensional data models

Lead Software Engineer
Lead Software Engineer
  • Owned the data infrastructure powering Treasury Workspace ? the reporting and analytics layer serving commodity-trading and fund-administration teams. 
  • Architected dimensional data models (Kimball) and SSOT design across multiple treasury and trading data sources, establishing one trusted reporting foundation and eliminating conflicting reports. 
  • Built and orchestrated production ELT pipelines processing daily trading and fund data, reducing manual intervention. 
  • Embedded automated data-quality checks into the pipeline layer, catching errors before they reached traders, fund accountants, and dashboards ? measurably improving report reliability. 
  • Partnered with trading-desk and fund-operations stakeholders to translate business requirements into scalable analytics solutions, enabling faster and more confident decisions. 
  • Mentored engineers and analysts on dimensional modelling and pipeline best practices, raising delivery quality across the team. 
Fidelity Investments · Bengaluru, India
3 years 2 months
2015-09 - 2018-10

Developed and maintained BI and data-warehouse solutions

Senior Software Engineer
Senior Software Engineer
  • Developed and maintained BI and data-warehouse solutions for fund administration and investment operations, delivering analytics and reporting to business stakeholders. 
  • Built and optimised SQL data models and ETL processes supporting reconciliation and financial reporting. 
Fidelity Investments · Bengaluru, India

Aus- und Weiterbildung

Aus- und Weiterbildung

2006 ? 2010

Bachelor of Technology (B.Tech.), Information Technology

Anna University, Chennai, India

Kompetenzen

Kompetenzen

Top-Skills

Data Engineering Business Intelligence Google Cloud Platform (GCP) Datawarehouse dbt BigQuery Snowflake SQL Python Analytics Engineering ETL elt Dimensional Modeling Data Modeling Data Quality Data Architecture Cloud Migration Power BI Tableau Financial Data Git

Produkte / Standards / Erfahrungen / Methoden

PROFILE

Senior data & analytics engineer with 14+ years building production data platforms, including 9 years at Fidelity Investments owning the data infrastructure behind commodity trading and fund administration. I design GCP-native platforms end to end ? BigQuery warehousing, dbt transformation pipelines, Airflow orchestration, and data-quality frameworks that give teams a trusted single source of truth. Deep expertise in Kimball dimensional modelling, SSOT architecture, and cloud data-warehouse migration. Available immediately for freelance and contract engagements across the European market, working project-based with defined deliverables via my registered entity. 


CORE SKILLS

  • Cloud & Data Platforms: Google Cloud Platform (GCP), BigQuery, Snowflake, Cloud Composer 
  • Pipelines & Orchestration: dbt, Apache Airflow, Airbyte, ELT/ETL, CDC, SCD (Type 1/2) 
  • Modelling & Architecture: Kimball dimensional modelling, SSOT design, data warehousing, data-quality frameworks 
  • Languages & Tools: Python, SQL, Power BI, Git 
  • Domain: Capital markets, commodity trading, fund administration, financial reporting 

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