Financial Data Engineer & Senior Analyst

Financial Data Engineering & Quant Strategy for Critical Business Decisions

Combining robust Data Engineering (AWS, Snowflake/ClickHouse) with strategic Corporate Finance vision. Expert in Snowflake/ClickHouse, AWS, Python & Quant Modeling. Barcelona-based consultancy.

Specialized Solutions

Bridging the gap between IT and Finance. Datak Insights provides high-level technical solutions with deep understanding of business objectives.

Modern Data Stack

Design and implementation of cloud data infrastructures (AWS/Azure). Automated pipelines (Airflow/dbt) ensuring clean and auditable data.

  • Data Warehousing (Snowflake/ClickHouse)
  • ETL/ELT Automation

Financial Analytics & BI

Transforming balance sheets and P&L into interactive dashboards. Predictive models for cash flow and tax planning using Machine Learning.

  • Advanced Power BI (DAX)
  • Forecasting Models

Strategic Consulting

Advisory for companies needing to structure their data department. Audit of current processes and technological roadmap.

  • Data Strategy
  • Technical Mentoring

Professional Experience

Senior Data Engineer

International Airlines Group (IAG) | Jan, 2023 - Present

Developing modern data infrastructure (Common Data Layer) for the airline group. Responsible for critical pipelines powering financial decisions.

AWS (S3, Lambda) Airflow dbt Snowflake/ClickHouse Python

Senior Data Analyst (Finance)

Suncapital Management | Mar, 2014 - Present

Creation and implementation of ad-hoc reporting solutions and KPIs with MS Power BI interface for comprehensive tax management. Machine Learning and Data Science for fiscal variable forecasting models.

Power BI Machine Learning Python

Quantitative Analyst & Portfolio Mgmt

Sonar Capital / World Trade Securities | Previous stage

Algorithm development for asset valuation, multivariate analysis, and risk management in equity markets (NYSE/Nasdaq).

Matlab Python Quant Finance

Product Vision (SaaS)

I don't just analyze data. I build integral solutions.

Proprietary SaaS

B-able

Comprehensive financial tool designed to solve liquidity problems for SMEs. Combines data engineering with accounting logic to automate financial health analysis.

View Functional Docs

# B-able Optimization Engine (Secant Method)

def solve_target_variable(base_inputs, target_id):

x0 = base_inputs.get(meta['key'], 0.0)

y0 = calculate_gap(x0)

for i in range(max_iter):

y1 = calculate_gap(x1)

if abs(y1) < tolerance: break

x_next = x1 - y1 * (x1 - x0) / (y1 - y0)

return final_val

Let's Talk Data & Strategy

Available for strategic consulting, developing complex data architectures,
or solving complex financial challenges.

Corporate Email

Direct and confidential response.

akerap@datakinsights.com

LinkedIn

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