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Nikhil Jatale

Nikhil Jatale

Data Analyst/Engineer | Immediate Joiner

Services provided: AWS Developer , Core Data , Data analysis , Data Analysts , Data Analytics , Data Extraction , Data Lake , Data Modeling Analysts , Data Science & Analytics , Data Visualization , Data Visualization Developers , Data Warehouse , Database Services , Ecommerce Website Development , Python Developers , React Web Developers , Web Application Developers , Web Developers

Technology / Internet

London, Greater London
£1,500 / hour
Approximate rate

Social

About Nikhil Jatale:

As an experienced Data Engineer, I am dedicated to driving business success through the power of data. I specialize in designing and implementing efficient data pipelines, crafting predictive models, and creating impactful data visualizations that help companies unlock the full potential of their data.

With a proven track record of over 4 years in the field, I have consistently delivered results, including:

Automating ETL pipelines, reducing manual workloads by 20%.
Maintaining a remarkable 99% data pipeline up-time, even when ingesting data from diverse primary sources.
Collaborating with clients to understand their business needs and translating them into actionable reports using Tableau, saving 12 hours of manual work weekly.

I'm enthusiastic about new opportunities that allow me to continue my professional growth in a dynamic and challenging environment. I'm actively seeking roles where I can leverage my expertise in data engineering and machine learning to drive impact and contribute to business success.

Please feel free to reach out to me or visit my portfolio at njtales.com to explore my work and connect with me.

Experience

I embarked on my data engineering journey in 2017, and it's been an exhilarating four-year adventure. During this time, I've played a significant role in the digital landscape, contributing to impactful software solutions that have left a lasting mark. I take pride in maintaining a 99% data pipeline uptime, demonstrating my dedication to ensuring smooth data flow. Additionally, I've achieved a notable 22% increase in efficiency KPIs, showcasing my knack for optimizing processes.

However, my journey goes beyond my professional achievements. Outside of work, I've taken on personal projects that have pushed boundaries. These include developing a real-time sign language recognition system and creating a data pipeline for processing S&P 500 data. My dedication to excellence has been recognized with two "Employee of the Month" awards. To stay at the forefront of industry trends, I've completed multiple data science and machine learning courses.

My technical expertise encompasses Python, R, PostgreSQL, MS-SQL, MongoDB, TSQL, and various data-related tools. I proficiently manage data warehousing, integration, modeling, visualization, and analysis. Furthermore, I possess skills in Apache Spark, PySpark, Kafka, Airflow, Git, GitHub, EC2, Redshift, IAM, S3, Glue, Kinesis, Docker, Tableau, Power BI, and various DevOps tools, making me a versatile data engineer.

Education

I have a Bachelor of Engineering degree in Computer Science, which provided me with a solid technical foundation. Additionally, I hold a Master of Science (MSc) in Big Data Science from Queen Mary University of London, which has honed my expertise in the field of big data and data science. This combination of educational qualifications has significantly contributed to my knowledge and skills in the data engineering and analytics domain.

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