Bilal K. Profile

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5,0

(1 bedømmelse)

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$30 USD / time

pune,

india

$30 USD / time

Det er i øjeblikket 4:04 PM her

Tilmeldt november 19, 2019

0 Anbefalinger

Bilal K.

@khnbilal17

5,0

(1 bedømmelse)

0,8

100%

$30 USD / time

pune,

india

$30 USD / time

100 %

Jobs færdiggjort

100 %

Indenfor budgettet

100 %

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Genansættelsesrate

Data Engineer

Hello! I'm Bilal Khan, an accomplished Computer Engineering graduate, specialising in Artificial Intelligence and Machine Learning, with a passion for Cloud Computing. I am dedicated to transforming visionary concepts into reality, utilising advanced technologies to tackle real-world challenges. KEY SKILLS: • Proficient in Python • Snowflake Specialist (Data Warehousing, Data Migration, Data Integration, ETL Development, Data Pipeline Development) • Apache Spark, Apache Airflow, Terraform • MySQL Expert (Data Retrieval, Modification, Querying) • AWS Maestro (EC2, VPC, IAM, S3, Athena, Aurora, RDS, Quicksight, Redshift, EMR, Lambda, Kinesis, Glue) • Linux Administration and Bash Scripting EDUCATION: Bachelor's in Computer Engineering with Honors in AI & ML

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5,0

₹2.000,00 INR

Looking for a moodle expert to configure moodle for a school setup. -- 2

Bilal is an expert in this domain. He has setup Moodle on my windows desktop in no time and also configured the course content with very little inputs. In fact he is very creative in his approach and had suggestions for me to make the website better. All for such a great price. Highly recommend him. Will definitely work together in the future.

Akram K.

@TechManias

•

4 år siden

Erfaring

CompuCom

sep. 2023 - Nuværende

• Implemented Apache Airflow for data pipeline orchestration, achieving a 40% reduction in data processing orchestration time and streamlining workflow management. • Developed and deployed a real-time data analytics framework using Apache Spark and Kafka, enabling a 70% faster response time to critical business events. • Migrated a legacy data warehouse to a cloud-based data lake on Snowflake, resulting in a 25% reduction in data storage costs and improved data accessibility for analytics.