Hire the Best ETL Developers in California

Cloud Solution Architect with engineering experience in Cloud SQL Big Data technologies including Data Architecture to support various Business Intelligence needs. Solution Architect in Technical Teams on Cloud Data Solutions into various Cubes, Data Marts, and ERP Systems. Developed data structures for business using various Analysis Services Cubes, BI Dashboard, and Scorecards. Recent experiences include developing multiplayer AI Platform with Generative AI using AWS Bedrock for back-office CareManagement application including HealthCare. Implementations included Anthropic Claude model & Twilio Integration for Client Onboarding, Authentication, and Call Flow Management. Cloud Services Database include Snowflake Data Cloud, Azure Cloud, Go/Language (JSON and yaml) with Anaconda python programming. Migrated Data Lakes from on-prem up to SnowFlake using SnowPipe and SnowSQL using command line scripts using AI methods. Implemented standards and data designs for HIPAA, SOX, regulatory, compliance, financial, reporting, and auditing. Next generation AI development with Anthropic Claude Code, ChatGPT, Gemini, etc.

I am an accomplished data analyst with more than 10+ years of experience in data analysis and reporting helping businesses make stronger decisions with their data. I have worked in both Financial companies like ADP and a few years in the Mortgage Industry. Check out my portfolio below on some analytics I have done. Whether you need help with creating powerful dashboards using any visualization product such as Power BI, Microsoft Reporting Services, Tableau, or Excel, or you need to clean your data, I will be your go-to person. Reliable and excellent communication and leadership skills, with a track record of successful project management and team collaboration. ⭐ Why you should choose me over other freelancers ⭐ ✅ Past Reviews: I put 100% focus on the quality of work I provide to my clients and aim to earn their trust. ✅ Over-delivering: This is one of my weaknesses. I tend to over-deliver and make sure the client is satisfied with my work as a freelancer. ✅ Responsiveness: Being on top of my communication and being extremely open with my clients. ✅ Resilience: reach out to any of my current or former clients and ask them about my resilience. ✅ Kindness: I make sure I treat all my clients the way I want to be treated, with respect and understanding, aiming to improve my client's work. Working with me, you will ✅ Stop struggling with data that's not telling a story ✅ Get analytics of your data including clean graphs and KPIs that would help you make quick decisions just by looking at it. ✅ Get to understand your data better ✅ Get a report that's built once and can be set up for refresh daily thus saving you money. 🏆 Reviews and feedback from clients 🏆 Below are my client testimonials describing the work and value you should expect from me. ⭐⭐⭐⭐⭐ "Issak Dure is an exceptional Power BI Data Analyst whose work consistently exceeded our expectations. His deep understanding of data analysis combined with his expertise in Power BI allowed us to uncover valuable insights from our data. Issak's attention to detail, analytical skills, and ability to communicate complex findings in a clear and concise manner were instrumental in driving our project's success. He was a true asset to our team and I highly recommend him for any Power BI data analysis work."- David P. ⭐⭐⭐⭐⭐ "I had the pleasure if working with Issak at AAG for a couple of years after he was hired as a new member of the team. Issak stood out from the rest of the candidates interviewing for the same position with his technical capabilities, analytical thought and communication skills. Once hired, he quickly came up to speed by learning about the business and becoming an expert BI developer. Issak's ability to not only develop and deliver high quality analytical reports but also interface with various business teams to iterate and build requirements for report development made him an invaluable asset to the team. I can't recommend Issak highly enough for any Data / Business Analytics projects and would hire him in a heartbeat if the opportunity arises!" -Jyothi H. | Business Analytics

🔹 Data Engineer | SQL, ETL, AWS, Data Warehousing, Snowflake | Scalable & Automated Pipelines 🔹 Data Analyst | Python, SQL, Tableau | Data-Driven Insights & Reporting 🔹 Data Pipelines & Performance Optimization 🔹 Excel Data Analysis and Reporting 🔹 Data Visualization and Tableau Dashboard I specialize in building scalable data infrastructure, optimizing ETL processes, and developing insightful dashboards that enable businesses to make informed decisions. With 8+ years of experience, I help clients: ✅ Build Efficient ETL Pipelines ✅ Design & Optimize Data Warehouses ✅ Develop Data Processing Workflows ✅ Improve Query Performance & Data Efficiency ✅ Create Interactive Dashboards & Reports 🔹 Skills & Tools ✅ Programming & Querying: Python, SQL, Excel, MongoDB, Snowflake, GraphQL ✅ Cloud & Databases: AWS (S3, RDS, Redshift, Lambda, Glue, Athena), Snowflake, SQL Server ✅ ETL & Workflow Automation: Python, SQL, Apache Spark, Apache Airflow, DBT ✅ Business Intelligence & Visualization: Tableau, AWS QuickSight, Excel 🔹 Rates & Availability ✅ Hourly Rate: $25/hr ✅ Availability: Open for short-term & long-term projects 🔹 Why Hire Me? ✅ 8+ Years Experience in Data Warehousing, ETL, and Analytics Solutions ✅ Efficient & Scalable Solutions That Reduce Costs & Improve Performance ✅ Clear Communication, Problem-Solving & On-Time Delivery 🔹 Message me to discuss how I can optimize your data processes and unlock valuable insights! 🚀

Seasoned Data Engineer & Backend Developer with deep expertise in building high-performance, secure, and scalable data platforms for industries like Fintech, Health & Nutrition Tech, Digital Media (Amazon Music), Insurance, and Gaming/Sports Betting. I specialize in Python-driven data architectures on AWS and Azure, enabling real-time analytics, rigorous data quality, and secure data handling for batch and streaming workloads. My solutions turn complex datasets into business intelligence that powers product innovation and regulatory compliance. 🔹 Cloud-Native Data Pipelines – Expert in architecting ELT/ETL workflows using Apache Airflow, DBT, AWS Glue, and Azure Data Factory. 🔹 Streaming & Real-Time Systems – Built Kafka- and Kinesis-based pipelines with schema registry, Spark Streaming, and Azure Event Hubs. 🔹 Secure & Governed Architecture – Implemented granular IAM, end-to-end encryption, metadata lineage (AWS Glue Catalog, Azure Purview), and compliance controls for SOC and HIPAA-style standards. 🔹 Backend & Microservices – Designed modular FastAPI/Flask services, asynchronous job queues (Celery, Lambda), and robust APIs (OAuth2, JWT, API Gateway). 🔹 Data Modeling & Storage Optimization – Skilled in dimensional models, data vaults, and tuning storage engines (PostgreSQL, Redshift, Snowflake, S3/ADLS Lakehouses). 🎧 On Amazon Music, I contributed to scalable event-driven services and analytics pipelines that processed billions of user interactions to drive personalization and reporting. ✅ Let’s work together if you need: Real-time & batch data infrastructure Secure cloud data platforms (AWS, Azure) Streaming data ingestion & CDC (Debezium, Kafka) Optimized data lake/warehouse design Backend services to support analytics and product features 📈 Whether you're building a modern data stack or re-architecting legacy systems, I bring hands-on expertise, architectural clarity, and a delivery mindset.

Full-stack Python3/SQL Data Engineer & Analyst; ETL/ELT, API Integrations, Automated Data Pipelines, Web Scraping, Database Management, Data Visualization (Real-Time Dashboards and Scheduled Reports), Helper Scripts (Headless for servers and UI-based for non-technical users), and Technical Support/Coaching. If a computer can do it, I will make it happen... My preferred tech stack: [Dataviz] - Google Data Studio/Sheets/Apps Script (free BI for low/no budget shops) - PeriscopeData (aka Sisense Data; BI for larger shops with more expertise) - AWS Quicksight (great choice if already using AWS) - Looker (for larger shops who don't mind investing and locking-in their business with LookML; SQL is still required) - Grafana/InfluxDB (best real-time BI / monitoring for any shop) - Plotly (legacy only; still good for in-house BI) [Development] - Python3/Django (pretty much everything, all the time; simple web apps, PWAs, cross-platform apps, mobile apps, etc.) - Jenkins (classic CI/CD; still gets the job done) - Airflow/MWAA (next-gen Python CI/CD; MWAA is a great choice if already using AWS) - Playwright/Puppeteer/HMTL5/CSS (mainly web scraping and web test automation) - AutoIT (large-scale Windows PC deployments) [Database] - PostgreSQL (best all-purpose DB in the world; newer versions excellent for OLAP, OLTP, and NoSQL/JSONB) - AWS Redshift (PostgreSQL-powered data warehouse for larger datasets and queries) - AWS Athena/Iceberg (data lake for true "big data") - SQLite (better for tiny/localized projects) - MySQL (mostly just for Wordpress, etc.) [Webserver] - AWS (best-in-class cloud infrastructure, but tends to be expensive) - Fly.io (excellent cloud option for low/no budget shops) - Heroku (excellent cloud option for low budget shops) - DigitalOcean (cloud VPS; very flexible for small and large shops) - Vultr (cloud VPS; very flexible for small and large shops) Message me if you have any questions!

Hi 👋 I’m a Data Engineer at GroupBWT - a 100+ person data engineering company and official Snowflake & Databricks partner, delivering enterprise-scale data solutions since 2008. For over 15 years, I’ve been transforming fragmented and inconsistent data into structured, analytics-ready ecosystems by designing and building scalable ETL/ELT pipelines and cloud data platforms using Snowflake, Databricks, and BigQuery, integrated with BI tools like Power BI and Tableau. The outcome is reliable, automated analytics infrastructure that reduces manual reporting effort, speeds up decision-making, and delivers significant operational savings - typically in the range of $20K-$80K annually through improved efficiency and automation. 🌍 What We Deliver As a Data Engineer, I focus on measurable business impact: ✅ 60M+ records/month processed through resilient pipelines with retries, monitoring, and SLA tracking ✅ Up to 70% faster reporting cycles - dashboards refreshing in near real time instead of hours ✅ 15-30% 🔁 My Workflow as a Data Engineer 📦 Data Ingestion & Integration A skilled Data Engineer builds ingestion systems that handle API, CRM, SaaS, and IoT data at scale. ✔ OAuth2, JWT, API key auth, pagination, rate limits ✔ Batch + streaming ingestion with Airflow, Prefect, Kafka ✔ Dynamic configs and feature flags for multi-source onboarding ✔ SLA monitoring to track data freshness and pipeline uptime Example: as a Data Engineer, I built a platform syncing 400K+ SKUs/day into Snowflake with <1% data loss 🧹 Data Transformation & Modeling Every Data Engineer knows data quality drives analytics. ✔ Schema mapping, deduplication, anomaly detection ✔ dbt tests for null ratios, PK/FK consistency ✔ ML/NLP enrichment for classification and tagging Example: as a Data Engineer, I merged ERP + CRM + distributor data into Snowflake with <1% mismatch and documented lineage 📤 Data Loading & Warehousing A professional Data Engineer delivers fault-tolerant pipelines. ✔ Partitioning, clustering, cost optimization ✔ Logging, retries, rollback protection Example: Snowflake ELT optimizing 1B+ rows with dbt, reducing query cost by 40% and improving dashboard load times 3×. 📊 Analytics & BI Enablement Being a Data Engineer means ensuring data is analytics-ready. ✔ <5–10 min latency from source to dashboard ✔ Consistent KPIs with semantic metric layer ✔ Governance and security practices Example: pipelines by a Data Engineer processing 50M+ rows into BigQuery, cutting ad-hoc requests by 60% ⚙️ Tech Stack As a Data Engineer, my toolbox includes: Languages: Python (pandas, numpy, sqlalchemy, PySpark), SQL, JavaScript Warehouses: Snowflake, Databricks Delta Lake, BigQuery, PostgreSQL Orchestration: Airflow, Prefect, dbt, Luigi, Kafka, Spark Clouds: AWS (S3, Glue, Lambda), GCP (BigQuery, Dataflow), Azure Data Factory BI: Power BI, Tableau 🧩 Sample Projects Each project highlights my Data Engineer experience: ✅ Retail Data Platform: 50M+ records/month → Snowflake, +35% inventory accuracy, –65% manual work ✅ Government ETL: as a Data Engineer, I automated 15K+ PDFs/day with NLP → Snowflake + compliance dashboards ✅ Fintech Analytics Hub: Databricks pipelines by a Data Engineer integrating 70+ APIs, –50% compliance prep time ✅ eCommerce Migration: MSSQL + Excel → BigQuery, redesigned data model by a Data Engineer, saving $35K/year ✅ IoT Pipeline: streaming 1M+ events/hour built by a Data Engineer, downtime –20% ✅ HealthTech Integration: HIPAA-compliant ETL across 5 EHRs, dashboards for care teams ✅ Marketing Data Warehouse: unified ad platforms into Snowflake, ROAS dashboards, –15% spend anomalies 🤝 Why Clients Work With a Data Engineer Like Me ✅ Production-Ready Data Pipelines A seasoned Data Engineer delivers reliable data ecosystems with monitoring, retries, lineage tracking, and automated CI/CD deployments. 🔹 95% fewer pipeline failures and 70% reduction in manual interventions 🔹 ROI: $60K-$120K/year saved through automation and error prevention 🔹 Fully auditable datasets supporting GDPR/SOX compliance and investor reporting ✅ Scalable Architecture Solutions from a Data Engineer scale from 50K to 12M+ daily events with no downtime or performance issues. 🔹 100M+ records/month processed from 80+ APIs and data feeds 🔹 Pipelines refresh in under 5 minutes, keeping dashboards current and decision-ready ✅ Data-Driven Decision Making An expert Data Engineer ensures data becomes actionable intelligence, not just storage. 🔹 85% faster reporting cycles, providing leadership with same-day insights 🔹 Finance, sales, and ops align around a single trusted data model 🔹 Power BI/Tableau dashboards improve forecasting accuracy by 30-45% and reveal anomalies before they impact revenue 🚀 Ready to work with a Data Engineer who builds future-proof data platforms? ➡️Invite me to your job and we’ll design a scalable Python ETL solution - with monitoring, tested transformations, and real-time analytics. Last updated May 8, 2025