ETL in Data & Analytics

Open, edit, and create Excel and CSV files with formulas, formatting, and data cleaning.

Create and deploy data engineering jobs on Databricks using notebooks, Python, SQL, or pipelines.

Build batch or streaming data pipelines on Databricks with Python or SQL.

Build real-time data ingestion clients that write directly to Databricks Delta tables.

Manage Apache Iceberg tables and enable cross-platform data sharing on Databricks.

Build production streaming pipelines with Kafka, joins, and real-time processing.

Build custom Python connectors to read and write data between Spark and external systems.

Design and operate Snowpipe disaster recovery patterns on Azure ADLS Gen2.

Evaluate job offers, generate CVs, and track your applications in one place.

Scan job listings from Apify actors and map results into your career tracking system.

Extract job URLs from Gmail and add them to your career pipeline.

Work with annotated data matrices and .h5ad files for single-cell analysis.

Save conversation insights and decisions to your Obsidian vault.

Manage customer health, predict churn, handle RFPs, and streamline sales operations.

Analyze sales pipeline health, forecast accuracy, and go-to-market efficiency for SaaS teams.

Enable C-suite agents to query each other, coordinate analysis, and prevent communication loops.

Create, discover, and run domain-specific skills bound to automated workflows.

Build tools to import, inspect, and migrate DeepChat chat data and configurations.

Generate flowcharts, architecture diagrams, and visual system maps as PNG, SVG, or PDF.

Accelerate pandas DataFrames with NVIDIA GPU computing for large-scale data processing.

Answer questions about DataChain API usage, method signatures, and code patterns.

Create, query, and manage datasets across S3, GCS, Azure, and local storage.

Design reliable, scalable data systems with proven patterns for consistency, replication, and streams.

Turn website data extraction into reusable, deployable skills with automatic API discovery.

Retrieve structured product details from Amazon using an ASIN number.

Extract data from 100+ websites including social media, maps, and review platforms.

Convert security findings into a defensible risk score and dollar-based breach cost estimate for board reports.

Generate standards-compliant DCAT feeds for your PortalJS portal to enable harvesting by open-data registries.

Import media files into OpenChatCut projects for video editing.

Orchestrate parallel research tasks and synthesize findings into a polished report.

Create, edit, and validate n8n workflows and automation configurations.

Capture your project's exact language versions, packages, and dependencies for reproducible research.

Filter DNA sequence alignments by quality, flags, and genomic regions.

Extract YouTube metadata, subtitles, and download videos with proxy support.

Scrape websites and extract structured data without getting blocked.

Design multi-agent systems with context isolation, coordination, and parallel execution.

Build a playable game candidate from approved design and art direction.

Download WeChat public account articles, metrics, and comments in bulk for archival or analysis.

Classify and resolve conflicts when ingesting data bundles.

Import live database schemas and create semantic layers from snapshot files.

Extract dashboards, looks, and explores from Looker into structured knowledge.

Map LookML views and explores into KTX semantic layer sources.

Extract experiments from AI agent logs and prepare them for academic paper writing.

Map dbt models and sources into semantic layer overlays with column metadata.

Identify recurring SQL query patterns across database tables for analysis.

Convert SQL table usage data into typed evidence for schema projection.

Analyze GitHub issues for validity, priority, and recommended actions.

Extract text from PDF files with support for multiple languages.

List, query, version, and clean up model data artifacts with flexible filtering.

Audit Odoo database for duplicates, missing values, and data anomalies before imports or migrations.

Build modular data processing workflows with batch jobs and API integration.

Consolidate IBRK trade CSV files into summary reports organized by symbol and date.

Run multi-turn AI analysis tasks with database and RAG context.

Apply plain language standards to technical documentation, architecture specs, and scientific writing.

Search the web, social platforms, news, academic databases, and GitHub in one go.

Optimize ClickHouse queries and design high-performance analytical databases.

Automate browser tasks like scraping, form-filling, and screenshots on JavaScript-heavy sites.

Search tweets, lookup users, extract followers, and manage X posts via Xquik API.

Build and manage semantic layers that map databases to business metrics and dimensions.

Execute substantial development tasks with isolated workspaces, testing phases, and quality gates.

Build and optimize Snowflake data pipelines, SQL queries, and AI-powered applications.