Hi, I'm Ricky 👋

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I build scalable data pipelines and engineer robust software solutions. Currently focused on data engineering and cloud infrastructure.

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About Me

My name is Ricky Suhanry, people usually call me by the nickname "Rick". I was born in the capital city of Bangka Belitung, located on Bangka Belitung Island, Indonesia. I came from IT/software engineer background with a Bachelor of Informatics Engineering at Tarumanagara University. After being a Backend Engineer in the year 2023, I decided to transition into a data field. In July 2024, I enrolled in the Fast Track Data Engineer program as a full-time student in Digital Skola. Continue to next year in January 2025, I enrolled in the Data Engineering Cohort 2025 in Data Engineering Zoomcamp from Datatalksclub.

My experience as a data practitioner covers Engineering, Analytics, and Data Quality leveraging technical tools and platforms like Python, SQL, NoSQL, Apache Spark, Dbt, Airflow, Looker Studio, Metabase, Snowflake, and AWS/GCP. Although my core technical skill was Data Engineer, I also have had a keen interest in exploring more about DevOps, Machine Learning, and Generative AI. In my free time, I jog and running as a hobby, listening to Jpop music, and trying to learn the Japanese language.

Technical Skills

Programming Languages

Python

Python

Java

Java

TypeScript

TypeScript

SQL

SQL

Programming Frameworks

Node.js

Node.js

Express.js

Express.js

Django

Django

FastAPI

FastAPI

Cloud/Data Platforms

AWS

AWS

S3, Glue, RDS, Redshift

Google Cloud

Google Cloud

BigQuery, GCS, Looker Studio

Databricks

Databricks

Snowflake

Snowflake

Big Data & Distributed Compute

HDFS

HDFS

Apache Spark

Apache Spark

Apache Airflow

Apache Airflow

Apache Kafka

Apache Kafka

Apache Flink

Apache Flink

Apache Hive

Apache Hive

Analytics & Visualization

Pandas

Pandas

NumPy

NumPy

dbt

dbt

Tableau

Tableau

Metabase

Metabase

Scikit-learn

Scikit-learn

Utility

Docker

Docker

Terraform

Terraform

GitHub

GitHub

GitLab

GitLab

JIRA

JIRA

Work Experience

AWS re/Start: Learner Program

AWS & Orbit Academy | July 2025 – Present

  • A free competency development program that can enhance your career in the Cloud Computing field from Amazon Web Service(AWS) collaborating with Orbit Academy for Indonesia Region.

Technical Writer

Hashnode | June 2025 – Present

  • Prepare topic focused on big data engineering and cloud-native tools.
  • Brainstorming ideas and plan blueprint content on google sheet and notion.
  • Content research and material curator for writing references.

Data Science Trainee

Celerates | March 2025 – Jul 2025

  • Participate as leader in group consist of 5 people to build AI Chatbot.
  • Create and maintain data on database (relational and vector) for data ingestion pipeline.
  • Clear 8 course, 14 individual task, 1 final capstone project.

Data Engineer Cohort 2025

DataTalksClub | January 2025 – April 2025

  • Design of an ELT pipeline to collect and data from public API.
  • Storage of data in a data lake and a data warehouse.
  • Transformation of data to make it usable by optimization models.
  • Development of a dashboard to visualize the performance of Formula 1 Race.

Featured Projects

Human-Capital-Data-Pipeline

Final project for Full-Stack Data Engineering program focusing on data pipeline implementation and analytics.

PythonAirflowPySparkKafkaConfluentPostgreSQLMongoDBData WarehouseData MartLooker StudioData VizLambda Architecture

Formula-1-Data-Pipeline

Formula 1 Racing Team Alpha seeks to establish a comprehensive data pipeline to transform raw race data into actionable insights that improve race strategy, car performance, and driver development. Currently, the team struggles with siloed data systems, manual data processing, and delayed access to critical information during race weekends. Decision-making is often based on incomplete information or intuition rather than data-driven analysis.

PythonAirflowPySparkGCSDatalakeBigqueryData WarehouseDbtLooker StudioData VizBatch pipeline

Superstore Analytics Dashboard

Detail analysis of sales and profit from SuperStore dataset focusing on country, region, category, and sub-category from product variable.

PythonSQLBigqueryLooker StudioData Viz