Grace Anyango

Data Scientist

https://talent.gravityer.com/grace-anyango

I am a data engineer experienced in orchestrating and building complex data pipelines, ensuring data quality and monitoring performance.

Kenya

Key Strengths

Demonstrated proficiency in building ETL pipelines using various technologies (Airflow, Kafka, Spark, Cassandra, PostgreSQL).
Extensive experience with Python for data processing and scripting.
Familiarity with containerization using Docker.
Experience with real-time data streaming concepts (Kafka, Spark Streaming).
Practical application of data warehousing and database technologies (PostgreSQL, Cassandra).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily revolve around data engineering and ETL pipelines, which aligns well with the technical demands of a Data Scientist role, especially one involving data infrastructure. However, the projects lack explicit demonstration of advanced statistical modeling, machine learning, or deep analytical work typically associated with a pure Data Scientist role, suggesting a stronger fit for a Data Engineer or ML Engineer role. The diversity of tools used (Kafka, Spark, Cassandra, PostgreSQL, Airflow) indicates an ability to adapt to various technical stacks.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical implementation.

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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

kraken_api_project

June 3, 2026 – Present

A real-time ETL pipeline using the Kraken API. Data is ingested with Airflow, staged in PostgreSQL, streamed through Kafka, processed with Spark, and served via Cassandra.

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coinpaprika_etl

June 1, 2026 – Present

A simple crypto ETL pipeline that fetches market data for a set of coins from the CoinPaprika API, normalizes it with pandas, and loads it into a PostgreSQL table.

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weather_stream

June 1, 2026 – Present

A lightweight Kafka-based weather ETL pipeline that fetches current weather from OpenWeather, publishes it to a Kafka topic, and stores the streamed results in Cassandra for later analysis.

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ecommerce_spark_pipeline

June 1, 2026 – Present

A PySpark-based ecommerce data pipeline that ingest CSV data (customers, order_items, items, returns), transforms the data, and ensures data quality

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agent_density

May 6, 2026 – Present

agent_density — repository

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agents_density

May 5, 2026 – Present

agents_density — repository

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airquality_etl

April 18, 2026 – Present

airquality_etl — repository

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binance_etl

April 16, 2026 – Present

An ETL pipeline using Binance crypto market trades APIs

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portfolio-website

January 21, 2023 – Present

portfolio-website — repository

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food

April 22, 2022 – March 18, 2023

food — repository

View Project

Key Strengths

Demonstrated proficiency in building ETL pipelines using various technologies (Airflow, Kafka, Spark, Cassandra, PostgreSQL).
Extensive experience with Python for data processing and scripting.
Familiarity with containerization using Docker.
Experience with real-time data streaming concepts (Kafka, Spark Streaming).
Practical application of data warehousing and database technologies (PostgreSQL, Cassandra).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical implementation.

Grace Anyango

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit