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Data & AI Enthusiast

RedySeptyanto

Data professional with expertise in data engineering and data analysis, supported by software engineering and AI implementation workflow.

Jakarta, Indonesia

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[PROFILE SNAPSHOT]

Redy works at the intersection of data engineering, analysis, software development, and practical AI implementation.

10+

Years in IT, systems, and data work

2020

Current data-focused role started

Core role lenses carried in one profile

Listed certificates and learning milestones

WHAT CAN I DO

HOW I HELP.

Each service is presented as a focused delivery area. Scroll through the stack to see how the work layers from data foundations into analytics, internal tools, and AI workflows.

WHAT CAN I DO

HOW I HELP.

Each service is presented as a focused delivery area. Scroll through the stack to see how the work layers from data foundations into analytics, internal tools, and AI workflows.

Service01

Build and automate data pipelines

Design ETL and ELT workflows across ingestion, transformation, orchestration, and warehouse delivery using tools like Python, Airbyte, Airflow, dbt, BigQuery, and Postgres.

Core Focus

PythonAirbyteAirflowdbt

Service02

Turn raw data into usable insight

Support decision making through SQL analysis, exploratory workflows, and dashboards built with Tableau, Looker Studio, notebooks, and spreadsheet-based reporting.

Core Focus

SQLTableauLooker StudioJupyter

Service03

Develop internal tools and analytics systems

Build practical internal software such as HRMS, training management systems, and analytics interfaces with React, Next.js, Express, and Postgres.

Core Focus

ReactNext.jsExpressPostgres

Service04

Apply AI to data and workflow problems

Explore LLM-powered applications, RAG patterns, and Streamlit-based AI tools that make data and knowledge access faster for internal teams.

Core Focus

StreamlitOpenAIRAGLLM apps

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Service01

Build and automate data pipelines

Design ETL and ELT workflows across ingestion, transformation, orchestration, and warehouse delivery using tools like Python, Airbyte, Airflow, dbt, BigQuery, and Postgres.

Core Focus

PythonAirbyteAirflowdbt

Service02

Turn raw data into usable insight

Support decision making through SQL analysis, exploratory workflows, and dashboards built with Tableau, Looker Studio, notebooks, and spreadsheet-based reporting.

Core Focus

SQLTableauLooker StudioJupyter

Service03

Develop internal tools and analytics systems

Build practical internal software such as HRMS, training management systems, and analytics interfaces with React, Next.js, Express, and Postgres.

Core Focus

ReactNext.jsExpressPostgres

Service04

Apply AI to data and workflow problems

Explore LLM-powered applications, RAG patterns, and Streamlit-based AI tools that make data and knowledge access faster for internal teams.

Core Focus

StreamlitOpenAIRAGLLM apps

Explore more

EXPERIENCE

CAREER PATH.

BPK PENABUR JAKARTA

Data Engineer | Data Analyst | Software Engineer

Jan 2020 - Present

6 yrs 7 mos

BPK PENABUR JAKARTA

Data Engineer | Data Analyst | Software Engineer

Jan 2020 - Present

6 yrs 7 mos

Built and automated ETL and ELT pipelines, warehouse structures, analytics dashboards, internal applications, and AI-powered tools for institutional operations.

Built data warehouses, OLAP layers, and data marts for multi-source integration.
Delivered dashboards and web-based analytics with Tableau, Looker Studio, and custom apps.
Developed internal systems with React, Next.js, Express, and Postgres.

BPK PENABUR JAKARTA

Computer Technician

Oct 2015 - Dec 2019

4 yrs 3 mos

BPK PENABUR JAKARTA

Computer Technician

Oct 2015 - Dec 2019

4 yrs 3 mos

Handled hardware and software support, OS setup, network and peripheral maintenance, asset documentation, and issue troubleshooting across day-to-day office operations.

Diagnosed and repaired hardware and software issues on PCs and laptops.
Installed operating systems, drivers, and office applications.
Maintained IT assets and reduced support ticket resolution time.

SELECTED WORK THEMES

WHERE THE WORK SHOWS UP.

data platform, analytics delivery, internal systems, and ai applications map the recurring delivery lanes across the portfolio, from hard infrastructure through internal-facing execution.