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Danish V
@valmanidanish
Level 2
Data Engineer: GCP, AWS, ETL Pipelines, BigQuery, dbt, API Integration
Paquistão
Inglês
Sobre mim
Most data problems show up the same way, whether it's a spreadsheet someone updates by hand every week or a pipeline that's quietly started giving numbers nobody trusts. I build and fix ETL pipelines, warehouses, and API integrations on GCP and AWS, from replacing manual copy-paste with automated pulls to cutting a client's warehouse costs by ~50%.
Tell me what's manual or what feels off, and I'll give you a straight read on what it'll take to fix it.
Habilidades
Danish V
US$ 30/hora
offline •
Tempo médio de resposta: 1 hora
Conheça meus serviços
Consultas SQL e NoSQL
I will build data pipelines, etl, and API extraction on gcp, bigquery, sql, python
ETLs de dados
I will build data engineering, api, extraction, python, sql, etl projects
Quer trabalhar com remuneração por hora?
Diga a Danish V o que você precisa.
US$ 30
/
horaPortfólio
Experiência profissional
Data Engineer
Self Employed • Autônomo
Jul 2025 - Present • 1 yr 2 mos
o Architected and optimized ETL pipelines, ensuring efficient data flow, reliability, and scalability. o Implemented Apache Airflow for workflow orchestration, automating data workflows and optimizing performance. o Developed and maintained data models in DBT, enabling efficient transformations and analytics. o Led the migration of legacy ETL jobs to GCP BigQuery, improving query performance and cost efficiency. o Built API integrations for seamless data extraction and ingestion from external sources. o Managed databases, ensuring data integrity, indexing, and performance tuning. o Collaborated with cross-functional teams, including data analysts and business stakeholders, to define data strategies and ensure data availability for analytics. o Mentored junior engineers, fostering best practices in data engineering, ETL, and cloud-based solutions.
Data Engineer
FOMO RE • Freelance
Jun 2024 - Jan 2025 • 7 mos
o Automated data extraction from IoT sensors and third-party APIs using Python, enabling real-time monitoring of solar energy metrics. o Built scalable ETL pipelines using Apache Airflow to orchestrate data ingestion, transformation, and loading into BigQuery for analytics. o Developed SQL-based data models in BigQuery, optimizing storage and query performance for large-scale energy datasets. o Implemented data visualization dashboards using Dash and Plotly, providing real-time insights on energy production, consumption, and system efficiency. o Leveraged GCP services such as Compute Engine for processing large data workloads and Cloud Functions for event-driven data processing. o Optimized database performance through indexing, partitioning, and data normalization to ensure efficient queries. o Integrated APIs for weather data, grid status, and energy consumption to enhance predictive analytics and decision-making.
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1-5 fora das 19 avaliações
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This is my first experience with the services, so I can't give a very detailed review of his performance. I will need more similar transactions to give a fairer assessment. Overall, he met the basic requirements of what I asked for.
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