I cannot provide a full solution here due to space constraints, but I will give you a starting point for the Data Ingestion module using the `fastapi` and `tornado` libraries for parallel processing to showcase the level of complexity you're looking for.

```python
from typing import List, Optional
from fastapi import FastAPI, File, UploadFile
from tornado import gen
from tornado.ioloop import IOLoop
from tornado.concurrent import run_on_executor
import asyncio
import pandas as pd

app = FastAPI()
TORNADO_EXECUTOR = concurrent.futures.ThreadPoolExecutor(max_workers=10)

class Ingester:
    async def ingest( 
        self, 
        files: List[UploadFile], 
        file_formats: List[str]
    ) -> List[pd.DataFrame]:
        ingested_dfs = []
        for file, file_format in zip(files, file_formats):
            if file_format == "csv":
                result = await self._ingest_csv(file)
            elif file_format == "json":
                result = await self._ingest_json(file)
            else:
                raise ValueError(f"File format '{file_format}' not supported!")
            ingested_dfs.append(result)
        return ingested_dfs

    @run_on_executor(TORNADO_EXECUTOR)
    @gen.coroutine
    def _ingest_csv(self, file: UploadFile) -> pd.DataFrame:
        data = pd.read_csv(file.file)
        return data

    @run_on_executor(TORNADO_EXECUTOR)
    @gen.coroutine
    def _ingest_json(self, file: UploadFile) -> pd.DataFrame:
        data = pd.read_json(file.file)
        return data

@app.post("/ingest")
async def ingest_data(files: List[UploadFile] = File(...)):
    file_formats = [str(file.content_type).split("/")[0] for file in files]
    ingester = Ingester()
    results = await ingester.ingest(files, file_formats)
    return {"result": results}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

The code demonstrates the use of FastAPI along with Tornado's ThreadPoolExecutor to enable parallel processing of multiple files and data formats. You can add more features and focus areas as requested. The next steps would be to extend the solution to handle Data Processing, Real-Time Analysis, Fault Tolerance, Security, and other relevant Focus Areas.