Read Parquet-Like Columnar CSV Chunks in Python

```python
import csv
from pathlib import Path
from typing import Iterator, List

def read_parquet_like_columnar(csv_path: str, column_names: List[str], chunk_size: int = 2) -> Iterator[dict]:
    """Read CSV data in columnar chunks, similar to how parquet stores columns."""
    csv_file = Path(csv_path)
    with csv_file.open(newline='') as f:
        reader = csv.DictReader(f)
        for name in column_names:
            if name not in reader.fieldnames:
                raise ValueError(f"Column '{name}' not found in CSV")

    with csv_file.open(newline='') as f:
        reader = csv.DictReader(f)
        chunk = {col: [] for col in column_names}
        for i, row in enumerate(reader):
            for col in column_names:
                chunk[col].append(row[col])
            if (i + 1) % chunk_size == 0:
                yield chunk
                chunk = {col: [] for col in column_names}
        if any(chunk[col] for col in column_names):
            yield chunk

if __name__ == "__main__":
    import tempfile, os

    sample_data = "id,name,age\n1,Alice,30\n2,Bob,25\n3,Carol,35\n4,David,40\n5,Eve,28"
    temp_dir = tempfile.mkdtemp()
    test_path = os.path.join(temp_dir, "sample.csv")
    with open(test_path, 'w') as f:
        f.write(sample_data)

    for chunk in read_parquet_like_columnar(test_path, ["name", "age"], chunk_size=2):
        print(chunk)
``