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Ram Krishna

@ramkrishna

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I'm a data engineer from United kingdom

United Kingdom

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What I'm looking for

Analyst driven by growth-mindset seeking data-rich environment where I can apply analytical skillset and strategic thinking to solve complex business challenges. Attracted to innovative cultures and high-impact domains facing digital disruption. Passionate about leveraging AI/ML, cloud platforms, and cross-functional collaboration to drive both commercial and social returns.

Highly motivated and skilled Data professional with AWS solution architect – Associate Certification and a passion for developing creative solutions to complex problems. Specialist skills in end to end architecture, designing reliable data pipelines, warehouses, and visualization tools. Skilled at proactively processing high volumes of data from multiple sources and transforming data into actionable insights. Proficient with AWS cloud services. Proven ability to consistently collect, extract, load, analyze, and interpret complex data to add value as a confident data-driven decision maker. Seeking opportunities to collaborate and further develop my capabilities as a resilient, reflective, and diligent data professional.

Experience

Data engineer Intern

bigspark

Aug 2022 - Apr 2023 (8 months)

• Led a team of five, Architected and automated ETL data pipeline ingestion processing 300+ GB daily
into DynamoDB powering webapp to update firm information. enhanced reliability through Python
validation rules. Built cloud-native webapp using AWS amplify which is adopted by 100+ SME
clients.
• Drove cloud cost optimization annually across AWS/Azure/GCP services through auto-deletion jobs

Python SQL AWS Amplify DynamoDB AWS Glue Amazon EMR

Data engineer

Natwest Group

Oct 2022 - Feb 2023 (4 months)

Worked in a team of 10, Developed and automated end-to-end ML pipelines, improving PEP identification accuracy by 15% through continuous model retraining and MLOps monitoring.
• Created Snowflake datamarts with daily automated ingestion via Streamsets from ONPREM to cloud and integrated event rule to trigger downstream operation using airflow reducing manual processes
by 65%.

Python SQL Data Analysis Nexus Spark Data Engineering Snowflake Apache Airflow Communication Jira Confluence Kafka Problem Solving

Data analyst

Everclean tech

Sep 2020 - Jan 2022 (1 year 4 months)

Leveraged data analysis and machine learning to forecast equipment failures and conduct predictive
maintenance, reducing unplanned downtime by 15%
• Performed root cause analyses to continuously improve maintenance program, driving 30hr/month
reduction in unplanned downtime.
• Led focused reliability efforts including predictive models and optimized routines, improving plant
OEE score from 72% to