Sachin A.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

Data Engineer(Python/Spark/Scala/Java) - ETL Pipeline & Machine Learning(AWS/GCP) ✅Do you want to get insights from the Huge Size of Data? Want to Migrate database because of cost and performance issues? Apply Data Engineering techniques of raw data? or Do you want to apply Machine Learning on big data? ====I have solutions to all of your Data Related problems here==== My name is Sachin Arora and I am a Technology Enthusiastic. My core expertise are writing highly scalable ETL Jobs, Creating ETL Pipeline, Training production-ready large scale machine learning models, Data Migration (Homogenous and Heterogeneous) and working with Cloud Technologies(Amazon Web Services - AWS & Google Cloud Platform - GCP) Below are my detailed skillset - You click on "Invite to Job" or "Hire Freelancer" button, so that we can quickly get started and solve your problem. ===Data Engineering=== • Creating a Data Pipeline on Cloud Platforms like Amazon Web Services (AWS) and Google Cloud Platform (GCP) • Writing Extract-Transform-Load (ETL) jobs for data processing using technologies like (AWS Glue, Pyspark, GCP DataProc, AWS EMR, AWS Lambda) • Building real-time data pipelines for Streaming data using Apache Kafka, AWS Kinesis, GCP Data Flow ========= Data Engineering Skills ========= Expertise: Amazon Web Services: RDS, EC2, Glue, Lambda, Data Migration Service (DMS), S3, Sagemaker, Batch, ECS, ECR, Athena, Redshift, QuickSight, Kinesis,EMR Google Cloud Platform: DataFlow, Pub/Sub, BigQuery, DataProc, Google Storage, Google Data Studio, Cloud Functions, Google AutoML, Google DataLab. Tools & Libraries: PySpark, Spark, Scala, Python, Hadoop, Hive, SparkML, AirFlow. Database: Postgres, MySQL, Oracle, DynamoDB, MongoDB, AWS Aurora, MSSQL ===Machine Learning=== • Training Machine Learning algorithms (Regression, Classification, Clustering and Recommendation System) • Using Python libraries to clean and process data (NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn) • Deploying a Machine Learning model on production from Data Ingestion to Prediction (Docker & API Gateway) • Processing Text Data using Natural Language Processing (NLP) and Generating insights from it (TF-IDF, n-gram, Lemmatization, LSA, NLTK, Numpy, pandas, and bag of words) • Creating Real-Time dashboards using Tableau, Power BI, Apache Superset, Plotly, Looker, Google Data Studio and Amazon Quick Sight ========= Machine Learning Skills ========= Expertise: Machine Learning,Deep Learning, Natural Language Processing, Data Science, Predictive Modeling, Unsupervised Learning , Text Extraction , Data Mining , Sentiment Analysis Tools & Libraries: Keras, Jupyter Notebook, Python, TensorFlow, Pandas, Numpy, SQL, JS